2024
|
da C. Silva, D. R.; Gutierrez-Osuna, R. Does gamified breath-biofeedback promote adherence, relaxation, and skill transfer in the wild? Journal Article Forthcoming In: IEEE Transactions on Affective Computing, Forthcoming. @article{nokey,
title = {Does gamified breath-biofeedback promote adherence, relaxation, and skill transfer in the wild?},
author = {D. R. da C. Silva and R. Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2024/07/Dennis-TAC-GBF-2024.pdf},
year = {2024},
date = {2024-07-15},
journal = {IEEE Transactions on Affective Computing},
keywords = {},
pubstate = {forthcoming},
tppubtype = {article}
}
|
2023
|
da C. Silva, D. R.; Wang, Z.; Gutierrez-Osuna, R. Towards Participant-Independent Stress Detection Using Instrumented Peripherals Journal Article In: IEEE Transactions on Affective Computing, 2023. @article{dennis2021tac,
title = {Towards Participant-Independent Stress Detection Using Instrumented Peripherals},
author = {D. R. da C. Silva and Z. Wang and R. Gutierrez-Osuna},
url = {https://ieeexplore.ieee.org/document/9361293
https://psi.engr.tamu.edu/wp-content/uploads/2023/11/keyboard2023dennis.pdf},
year = {2023},
date = {2023-01-01},
urldate = {2021-02-05},
journal = {IEEE Transactions on Affective Computing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2021
|
Chakravarthy, N. V.; Silva, D. R. Da Cunha; Gutierrez-Osuna, R. Evaluating the role of breathing guidance on game-based interventions for relaxation training Journal Article In: Frontiers in Digital Health, 2021. @article{nitin2021digitalhealth,
title = {Evaluating the role of breathing guidance on game-based interventions for relaxation training},
author = {N. V. Chakravarthy and D. R. Da Cunha Silva and R. Gutierrez-Osuna},
url = {https://www.frontiersin.org/articles/10.3389/fdgth.2021.760268/abstract
https://psi.engr.tamu.edu/wp-content/uploads/2021/12/nitin2021frontiers.pdf},
year = {2021},
date = {2021-11-18},
urldate = {2021-11-18},
journal = {Frontiers in Digital Health},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Hair, A.; Ballard, K. J.; Markoulli, C.; Monroe, P.; McKechnie, J.; Ahmed, B.; Gutierrez-Osuna, R. A Longitudinal Evaluation of Tablet-Based Child Speech Therapy with Apraxia World Journal Article In: ACM Transactions On Accessible Computing, vol. 14, no. 1, 2021. @article{adam2021TACCESS,
title = {A Longitudinal Evaluation of Tablet-Based Child Speech Therapy with Apraxia World},
author = {A. Hair and K. J. Ballard and C. Markoulli and P. Monroe and J. McKechnie and B. Ahmed and R. Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2021/08/hair_taccess_2021.pdf},
doi = {10.1145/3433607},
year = {2021},
date = {2021-03-15},
journal = {ACM Transactions On Accessible Computing},
volume = {14},
number = {1},
abstract = {Digital games can make speech therapy exercises more enjoyable for children and increase their motivation during therapy. However, many such games developed to date have not been designed for long-term use. To address this issue, we developed Apraxia World, a speech therapy game specifically intended to be played over extended periods. In this study, we examined pronunciation improvements, child engagement over time, and caregiver and automated pronunciation evaluation accuracy while using our game over a multi-month period. Ten children played Apraxia World at home during two counterbalanced four-week treatment blocks separated by a two-week break. In one treatment phase, children received pronunciation feedback from caregivers and in the other treatment phase, utterances were evaluated with an automated framework built into the game. We found that children made therapeutically significant speech improvements while using Apraxia World, and that the game successfully increased engagement during speech therapy practice. Additionally, in offline mispronunciation detection tests, our automated pronunciation evaluation framework outperformed a traditional method based on goodness of pronunciation scoring. Our results suggest that this type of speech therapy game is a valid complement to traditional home practice.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Digital games can make speech therapy exercises more enjoyable for children and increase their motivation during therapy. However, many such games developed to date have not been designed for long-term use. To address this issue, we developed Apraxia World, a speech therapy game specifically intended to be played over extended periods. In this study, we examined pronunciation improvements, child engagement over time, and caregiver and automated pronunciation evaluation accuracy while using our game over a multi-month period. Ten children played Apraxia World at home during two counterbalanced four-week treatment blocks separated by a two-week break. In one treatment phase, children received pronunciation feedback from caregivers and in the other treatment phase, utterances were evaluated with an automated framework built into the game. We found that children made therapeutically significant speech improvements while using Apraxia World, and that the game successfully increased engagement during speech therapy practice. Additionally, in offline mispronunciation detection tests, our automated pronunciation evaluation framework outperformed a traditional method based on goodness of pronunciation scoring. Our results suggest that this type of speech therapy game is a valid complement to traditional home practice. |
Parnandi, A.; Gutierrez-Osuna, R. Partial reinforcement in game biofeedback for relaxation training Journal Article In: IEEE Transactions on Affective Computing, vol. 12, no. 1, pp. 141-153, 2021. @article{parnandi2018taffc,
title = {Partial reinforcement in game biofeedback for relaxation training},
author = {A. Parnandi and R. Gutierrez-Osuna },
url = {https://ieeexplore.ieee.org/document/8400398
https://psi.engr.tamu.edu/wp-content/uploads/2021/02/08400398.pdf},
year = {2021},
date = {2021-02-28},
journal = {IEEE Transactions on Affective Computing},
volume = {12},
number = {1},
pages = {141-153},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
Ahmed, B; Zafar, M; Rihawi, R; Gutierrez-Osuna, R Gaming away stress: Using biofeedback games to learn paced breathing Journal Article In: IEEE Transactions on Affective Computing, vol. 11, no. 3, pp. 519-531, 2020. @article{ahmed2018tac,
title = {Gaming away stress: Using biofeedback games to learn paced breathing},
author = {B Ahmed and M Zafar and R Rihawi and R Gutierrez-Osuna},
url = {https://ieeexplore.ieee.org/document/8319498},
year = {2020},
date = {2020-12-02},
journal = {IEEE Transactions on Affective Computing},
volume = {11},
number = {3},
pages = {519-531},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Zaman, S.; Wesley, A.; Silva, D. Rodrigo Da Cunha; Buddharaju, P.; Akbar, F.; Gao, G.; Mark, G.; Gutierrez-Osuna, R.; Pavlidis, I. Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities Journal Article In: Scientific Data, vol. 6, no. 1, 2020. @article{zaman2019scientificdata,
title = {Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities},
author = {S. Zaman and A. Wesley and D. Rodrigo Da Cunha Silva and P. Buddharaju and F. Akbar and G. Gao and G. Mark and R. Gutierrez-Osuna and I. Pavlidis},
url = {https://www.nature.com/articles/s41597-019-0249-5
https://psi.engr.tamu.edu/wp-content/uploads/2020/04/shaila2019scientificdata.pdf},
year = {2020},
date = {2020-11-08},
journal = {Scientific Data},
volume = {6},
number = {1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Blank, C.; Zaman, S.; Wesley, A.; Tsiamyrtzis, P.; Silva, D. R. Da Cunha; Gutierrez-Osuna, R.; Mark, G.; Pavlidis, I. Emotional Footprints of Email Interruptions Proceedings Article In: Proc. CHI, 2020. @inproceedings{blank-2020-chi,
title = {Emotional Footprints of Email Interruptions},
author = {C. Blank and S. Zaman and A. Wesley and P. Tsiamyrtzis and D. R. Da Cunha Silva and R. Gutierrez-Osuna and G. Mark and I. Pavlidis},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2020/06/3313831.3376282.pdf},
year = {2020},
date = {2020-04-25},
booktitle = {Proc. CHI},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2019
|
Akbar, F.; Mark, G.; Pavlidis, I.; Gutierrez-Osuna, R. An Empirical Study Comparing Unobtrusive Physiological Sensors for Stress Detection in Computer Work Journal Article In: Sensors, vol. 19, 2019. @article{akbar2019sensors,
title = {An Empirical Study Comparing Unobtrusive Physiological Sensors for Stress Detection in Computer Work},
author = {F. Akbar and G. Mark and I. Pavlidis and R. Gutierrez-Osuna},
url = {https://www.mdpi.com/1424-8220/19/17/3766
https://psi.engr.tamu.edu/wp-content/uploads/2020/04/akbar2019sensors.pdf},
year = {2019},
date = {2019-08-30},
journal = {Sensors},
volume = {19},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Parnandi, A; Gutierrez-Osuna, R Visual Biofeedback and Game Adaptation in Relaxation Skill Transfer Journal Article In: IEEE Transactions on Affective Computing, vol. 10, no. 2, pp. 276 - 289, 2019. @article{parnandi21017tac,
title = {Visual Biofeedback and Game Adaptation in Relaxation Skill Transfer},
author = {A Parnandi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2019/06/avinash-2019-tac.pdf},
year = {2019},
date = {2019-05-17},
journal = {IEEE Transactions on Affective Computing},
volume = {10},
number = {2},
pages = {276 - 289},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Akbar, F.; Bayraktaroglu, A. E.; Gao, G.; Grover, T.; Mark, G.; Storer, K.; Silva, D. R. Da Cunha; Gutierrez-Osuna, R.; Wang, Z.; Buddharaju, P.; Jones, N. Cooper; Pavlidis, I.; Wesley, A.; S. Zaman, Email Makes You Sweat: Examining Email Interruptions and Stress with Thermal Imaging Proceedings Article In: Proc. CHI, 2019. @inproceedings{akbar-2019-hci,
title = {Email Makes You Sweat: Examining Email Interruptions and Stress with Thermal Imaging},
author = {F. Akbar and A. E. Bayraktaroglu and G. Gao and T. Grover and G. Mark and K. Storer and D. R. Da Cunha Silva and R. Gutierrez-Osuna and Z. Wang and P. Buddharaju and N. Cooper Jones and I. Pavlidis and A. Wesley and S. Zaman, },
url = {https://psi.engr.tamu.edu/wp-content/uploads/2019/06/paper668.pdf
https://dl.acm.org/citation.cfm?id=3300898},
year = {2019},
date = {2019-05-04},
booktitle = {Proc. CHI},
journal = {Proc. CHI 2019},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2018
|
Ahmed, B; Monroe, P; Hair, A; Tan, C-T; Gutierrez-Osuna, R; Ballard, K J Speech-driven mobile games for speech therapy: User experiences and feasibility Journal Article In: International Journal of Speech-Language Pathology , vol. 20, no. 6, pp. 644-658, 2018. @article{ahmed2018ijslp,
title = {Speech-driven mobile games for speech therapy: User experiences and feasibility},
author = {B Ahmed and P Monroe and A Hair and C-T Tan and R Gutierrez-Osuna and K J Ballard},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2019/06/ahmed-2018-ijslp.pdf
https://doi.org/10.1080/17549507.2018.1513562},
year = {2018},
date = {2018-10-30},
journal = {International Journal of Speech-Language Pathology },
volume = {20},
number = {6},
pages = {644-658},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Wang, Z; Parnandi, A; Gutierrez-Osuna, R BioPad: Leveraging off-the-Shelf Video Games for Stress Self-Regulation Journal Article In: IEEE Journal of Biomedical and Health Informatics, in press, 2018. @article{wang2018jbhi,
title = {BioPad: Leveraging off-the-Shelf Video Games for Stress Self-Regulation},
author = {Z Wang and A Parnandi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/wang2018jbhi.pdf},
year = {2018},
date = {2018-01-01},
journal = {IEEE Journal of Biomedical and Health Informatics, in press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2017
|
Hair, A; Gutierrez-Osuna, R Deep Breaths: An Internally- and Externally-Paced Deep Breathing Guide Workshop Proc. 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2017. @workshop{hair2017acii,
title = {Deep Breaths: An Internally- and Externally-Paced Deep Breathing Guide},
author = {A Hair and R Gutierrez-Osuna },
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/hair2017acii.pdf},
year = {2017},
date = {2017-10-23},
booktitle = {Proc. 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)},
abstract = {Deep breathing is a simple and intuitive technique for reducing stress, but requires familiarity with breathing exercises and suitable breathing parameters. We present Deep Breaths, a mobile tool that allows users to experiment with various respiratory pacing signals in order to maximize relaxation. Deep Breaths provides a stationary (i.e., clock-based) pacing signal as well as an adaptive pacing signal that follows fluctuations in the user’s heart rate. Deep Breaths also provides real-time visualizations of various standard measures of relaxation. This demonstration aims to illustrate how our system can be used for relaxation training.},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
Deep breathing is a simple and intuitive technique for reducing stress, but requires familiarity with breathing exercises and suitable breathing parameters. We present Deep Breaths, a mobile tool that allows users to experiment with various respiratory pacing signals in order to maximize relaxation. Deep Breaths provides a stationary (i.e., clock-based) pacing signal as well as an adaptive pacing signal that follows fluctuations in the user’s heart rate. Deep Breaths also provides real-time visualizations of various standard measures of relaxation. This demonstration aims to illustrate how our system can be used for relaxation training. |
Parnandi, A; Gutierrez-Osuna, R Physiological modalities for relaxation skill transfer in biofeedback games Journal Article In: Journal of Biomedical and Health Informatics, vol. in press, 2017. @article{parnandi2017jbhi,
title = {Physiological modalities for relaxation skill transfer in biofeedback games},
author = {A Parnandi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/avinash2017jbhi.pdf},
year = {2017},
date = {2017-03-01},
journal = {Journal of Biomedical and Health Informatics},
volume = {in press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2016
|
McKechnie, J; Ballard, K J; McCabe, P; Murray, E; Lan, T; Gutierrez-Osuna, R; Ahmed, B Influence of type of feedback on effect of tablet-based delivery of intensive speech therapy in children with Childhood Apraxia of Speech Proceedings Article In: Proceedings of the Motor Speech Conference, 2016. @inproceedings{mckechnie-2016-motorspeech,
title = {Influence of type of feedback on effect of tablet-based delivery of intensive speech therapy in children with Childhood Apraxia of Speech},
author = {J McKechnie and K J Ballard and P McCabe and E Murray and T Lan and R Gutierrez-Osuna and B Ahmed},
year = {2016},
date = {2016-03-03},
booktitle = {Proceedings of the Motor Speech Conference},
journal = {Motor Speech Conference},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2015
|
Parnandi, A; Karappa, V; Lan, T; Shahin, M; McKechnie, J; Ballard, K; Ahmed, B; Gutierrez-Osuna, R Development of a remote therapy tool for childhood apraxia of speech Journal Article In: ACM Transactions on Accessible Computing, vol. 7, no. 3, pp. 10:1-10:23, 2015. @article{parnandi2015taccess,
title = {Development of a remote therapy tool for childhood apraxia of speech},
author = {A Parnandi and V Karappa and T Lan and M Shahin and J McKechnie and K Ballard and B Ahmed and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/parnandi2015taccess.pdf},
year = {2015},
date = {2015-11-01},
journal = {ACM Transactions on Accessible Computing},
volume = {7},
number = {3},
pages = {10:1-10:23},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Ahmed, B; Ali, H; Choi, J; Gutierrez-Osuna, R ReBreathe: A calibration protocol that improves stress/relax classification by relabeling deep breathing relaxation exercises Journal Article In: IEEE Transactions on Affective Computing, vol. in press, 2015. @article{ahmed2015taffc,
title = {ReBreathe: A calibration protocol that improves stress/relax classification by relabeling deep breathing relaxation exercises},
author = {B Ahmed and H Ali and J Choi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/ahmed2015taffc.pdf},
year = {2015},
date = {2015-08-01},
journal = {IEEE Transactions on Affective Computing},
volume = {in press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Bhandari, R; Parnandi, A; Shipp, E; Ahmed, B; Gutierrez-Osuna, R Music-based respiratory biofeedback in visually-demanding tasks Proceedings Article In: 15th International Conference on New Interfaces for Musical Expression (NIME), 2015. @inproceedings{Bhandari2015nime,
title = {Music-based respiratory biofeedback in visually-demanding tasks},
author = {R Bhandari and A Parnandi and E Shipp and B Ahmed and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/Bhandari2015nime.pdf},
year = {2015},
date = {2015-05-31},
urldate = {2015-05-31},
booktitle = {15th International Conference on New Interfaces for Musical Expression (NIME)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Shahin, M; Ahmed, B; Parnandi, A; Karappa, V; McKechnie, J; Ballard, K; Gutierrez-Osuna, R Tabby Talks: an automated tool for the assessment of childhood apraxia of speech Journal Article In: Speech Communication, vol. in press, 2015. @article{shahin2015specom,
title = {Tabby Talks: an automated tool for the assessment of childhood apraxia of speech},
author = {M Shahin and B Ahmed and A Parnandi and V Karappa and J McKechnie and K Ballard and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/shahin2015specom.pdf},
year = {2015},
date = {2015-04-02},
urldate = {2015-04-02},
journal = {Speech Communication},
volume = {in press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2014
|
Al-Rihawi, R; Ahmed, B; Gutierrez-Osuna, R Dodging Stress With A Personalized Biofeedback Game Proceedings Article In: Proc. CHI-PLAY, 2014. @inproceedings{rami2014chiplay,
title = {Dodging Stress With A Personalized Biofeedback Game},
author = {R Al-Rihawi and B Ahmed and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/rami2014chiplay.pdf},
year = {2014},
date = {2014-10-19},
booktitle = {Proc. CHI-PLAY},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Lan, T; Aryal, S; Ahmed, B; Ballard, K; Gutierrez-Osuna, R Flappy Voice: An Interactive Game for Childhood Apraxia of Speech Therapy Proceedings Article In: Proc. CHI-PLAY, 2014. @inproceedings{lan2014chiplay,
title = {Flappy Voice: An Interactive Game for Childhood Apraxia of Speech Therapy},
author = {T Lan and S Aryal and B Ahmed and K Ballard and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/lan2014chiplay.pdf},
year = {2014},
date = {2014-10-19},
booktitle = {Proc. CHI-PLAY},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
McKechnie, J; Ballard, K; McCabe, P; Gutierrez-Osuna, R; Karappa, V; Parnandi, A; Shahin, M; Murray, E; Ahmed, B Tablet-based delivery of intensive speech therapy in children with Childhood Apraxia of Speech - Pilot Phase Proceedings Article In: Speech Pathology Australia National Conference, 2014. @inproceedings{jacqui2013australiaSLPconference,
title = {Tablet-based delivery of intensive speech therapy in children with Childhood Apraxia of Speech - Pilot Phase},
author = {J McKechnie and K Ballard and P McCabe and R Gutierrez-Osuna and V Karappa and A Parnandi and M Shahin and E Murray and B Ahmed},
year = {2014},
date = {2014-05-14},
urldate = {2014-05-14},
booktitle = {Speech Pathology Australia National Conference},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Parnandi, A; Gutierrez-Osuna, R A Comparative Study of Game Mechanics and Control Laws for an Adaptive Physiological Game Journal Article In: Journal on Multimodal User Interfaces, 2014. @article{avinash2014jmui,
title = {A Comparative Study of Game Mechanics and Control Laws for an Adaptive Physiological Game},
author = {A Parnandi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/avinash2014jmui.pdf},
year = {2014},
date = {2014-04-29},
journal = {Journal on Multimodal User Interfaces},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Harris, J; Vance, S; Fernandes, O; Parnandi, A; Gutierrez-Osuna, R Sonic Respiration: Controlling Respiration Rate Through Auditory Biofeedback Proceedings Article In: Proc. ACM CHI Conference on Human Factors in Computing Systems (CHI 2014) Works-in-Progress, 2014. @inproceedings{harris2014chi,
title = {Sonic Respiration: Controlling Respiration Rate Through Auditory Biofeedback},
author = {J Harris and S Vance and O Fernandes and A Parnandi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/harris2014chi.pdf},
year = {2014},
date = {2014-04-26},
urldate = {2014-04-26},
booktitle = {Proc. ACM CHI Conference on Human Factors in Computing Systems (CHI 2014) Works-in-Progress},
volume = {in press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2013
|
Parnandi, A; Ahmed, B; Shipp, E; Gutierrez-Osuna, R Chill-Out: Relaxation training through respiratory biofeedback in a mobile casual game Conference Fifth International Conference on Mobile Computing, Applications and Services (MobiCASE 2013), 2013. @conference{avimobicase2013,
title = {Chill-Out: Relaxation training through respiratory biofeedback in a mobile casual game},
author = {A Parnandi and B Ahmed and E Shipp and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/avimobicase2013.pdf},
year = {2013},
date = {2013-11-07},
booktitle = {Fifth International Conference on Mobile Computing, Applications and Services (MobiCASE 2013)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Parnandi, A; Karappa, V; Son, Y; Shahin, M; McKechnie, J; Ballard, K; Ahmed, B; Gutierrez-Osuna, R Architecture of an automated therapy tool for childhood apraxia of speech Conference The 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2013. @conference{avinashassets2013,
title = {Architecture of an automated therapy tool for childhood apraxia of speech},
author = {A Parnandi and V Karappa and Y Son and M Shahin and J McKechnie and K Ballard and B Ahmed and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/avinashassets2013.pdf},
year = {2013},
date = {2013-10-21},
urldate = {2013-10-21},
booktitle = {The 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Parnandi, A; Gutierrez-Osuna, R Contactless Measurement of Heart Rate Variability from Fluctuations in Pupillary Dilation Conference Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII), 2013. @conference{avipupilacii,
title = {Contactless Measurement of Heart Rate Variability from Fluctuations in Pupillary Dilation},
author = {A Parnandi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/avipupilacii.pdf},
year = {2013},
date = {2013-09-02},
booktitle = {Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Parnandi, A; Son, Y; Gutierrez-Osuna, R A Control-Theoretic Approach to Adaptive Physiological Games Conference Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII), 2013. @conference{avigameacii,
title = {A Control-Theoretic Approach to Adaptive Physiological Games},
author = {A Parnandi and Y Son and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/avigameacii.pdf},
year = {2013},
date = {2013-09-02},
booktitle = {Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Khan, H; Ahmed, B; Choi, J; Gutierrez-Osuna, R Using an Ambulatory Stress Monitoring Device to Identify Relaxation Due to Untrained Deep Breathing Conference 35th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2013. @conference{hira2013,
title = {Using an Ambulatory Stress Monitoring Device to Identify Relaxation Due to Untrained Deep Breathing},
author = {H Khan and B Ahmed and J Choi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/hira2013.pdf},
year = {2013},
date = {2013-07-03},
booktitle = {35th Annual International Conference of the IEEE Engineering in Medicine & Biology Society},
pages = {n/a},
abstract = {We have developed a non-invasive stress monitoring device to analyze the physiological changes in a person while undergoing different tasks. Our main aim was to use the developed monitoring device to identify the efficacy of deep breathing as a relaxing activity in comparison to mentally stressful activities. A protocol with different mentally stressful activities intervened with regular sessions of deep breathing was designed. Participants were asked to perform the set of tasks in a lab setup. The data from three parameters i.e. heart rate, respiration and skin conductance was captured by the physiological sensors and was then analyzed. We found some very interesting results that subjects were not able to breathe properly and thus their stress level was high during the deep breathing exercise. Our results also validate the use of our device to accurately identify if the subjects were able to properly control their breathing to allow them to relax.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
We have developed a non-invasive stress monitoring device to analyze the physiological changes in a person while undergoing different tasks. Our main aim was to use the developed monitoring device to identify the efficacy of deep breathing as a relaxing activity in comparison to mentally stressful activities. A protocol with different mentally stressful activities intervened with regular sessions of deep breathing was designed. Participants were asked to perform the set of tasks in a lab setup. The data from three parameters i.e. heart rate, respiration and skin conductance was captured by the physiological sensors and was then analyzed. We found some very interesting results that subjects were not able to breathe properly and thus their stress level was high during the deep breathing exercise. Our results also validate the use of our device to accurately identify if the subjects were able to properly control their breathing to allow them to relax. |
2012
|
Parnandi, A; Gutierrez-Osuna, R Contactless Measurement of Heart Rate Variability from Pupillary Fluctuations Technical Report 2012. @techreport{parnandi2012techreport,
title = {Contactless Measurement of Heart Rate Variability from Pupillary Fluctuations},
author = {A Parnandi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/parnandi2012techreport.pdf},
year = {2012},
date = {2012-12-04},
abstract = {The ability to measure a person’s physiological parameters in a contactless fashion without attaching electrodes to the skin has tremendous potential in making healthcare delivery more efficient. In this paper, we present a proof-of-concept method for measuring one such vital parameter, heart rate variability (HRV), in a contactless fashion from the spontaneous pupillary fluctuations. Pupillary measurements are done using a remote eye tracker for imaging and an integro-differential algorithm for the segmentation of the pupil-iris boundary. We estimate HRV from energy distribution in the low frequency (LF) (0.04 to 0.15 Hz) and high frequency (HF) (0.15 to 0.4 Hz) bands of the power spectrum of the pupillary fluctuations. In our study, we noted statistically significant correlation between the estimated HRV and the ground truth measures under a range of breathing conditions and under different illumination levels. The high degree of agreement evident in our results suggests that pupillary fluctuations obtained in a contactless fashion can be a reliable indicator of HRV.},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
The ability to measure a person’s physiological parameters in a contactless fashion without attaching electrodes to the skin has tremendous potential in making healthcare delivery more efficient. In this paper, we present a proof-of-concept method for measuring one such vital parameter, heart rate variability (HRV), in a contactless fashion from the spontaneous pupillary fluctuations. Pupillary measurements are done using a remote eye tracker for imaging and an integro-differential algorithm for the segmentation of the pupil-iris boundary. We estimate HRV from energy distribution in the low frequency (LF) (0.04 to 0.15 Hz) and high frequency (HF) (0.15 to 0.4 Hz) bands of the power spectrum of the pupillary fluctuations. In our study, we noted statistically significant correlation between the estimated HRV and the ground truth measures under a range of breathing conditions and under different illumination levels. The high degree of agreement evident in our results suggests that pupillary fluctuations obtained in a contactless fashion can be a reliable indicator of HRV. |
Son, Y; Parnandi, A; Gutierrez-Osuna, R A Control-Theoretic Approach to Adaptive Physiological Games Technical Report 2012. @techreport{son2012techreport,
title = {A Control-Theoretic Approach to Adaptive Physiological Games},
author = {Y Son and A Parnandi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/son2012techreport.pdf},
year = {2012},
date = {2012-09-21},
abstract = {This paper presents an adaptive biofeedback videogame
that aims to maintain the player’s arousal level at an
optimum level by monitoring physiological signals and
manipulating game difficulty accordingly. We use concepts
from classical control theory to model the interaction
between human physiology and game difficulty during
game play. Based on this control model, we have developed
a real-time car-racing game with adaptive game mechanics.
Specifically, we utilized car speed, road visibility, and
steering jitter as three mechanisms to manipulate game
difficulty. We propose quantitative measures to characterize
the extent to which these three game adaptations can
manipulate the player’s arousal. For this purpose, we used
electrodermal activity (EDA) as a physiological correlate of
arousal. We have validated our approach by conducting
experimental trials with 20 subjects in both open-loop (no
feedback) and closed-loop (negative feedback) conditions.
Our results show statistically significant differences among
the three game mechanics in terms of their effectiveness.
Specifically, manipulating car speed provides higher
arousal levels than modulating road visibility or vehicle
steering. Finally, we discuss the theoretical and practical
implications of our approach},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
This paper presents an adaptive biofeedback videogame
that aims to maintain the player’s arousal level at an
optimum level by monitoring physiological signals and
manipulating game difficulty accordingly. We use concepts
from classical control theory to model the interaction
between human physiology and game difficulty during
game play. Based on this control model, we have developed
a real-time car-racing game with adaptive game mechanics.
Specifically, we utilized car speed, road visibility, and
steering jitter as three mechanisms to manipulate game
difficulty. We propose quantitative measures to characterize
the extent to which these three game adaptations can
manipulate the player’s arousal. For this purpose, we used
electrodermal activity (EDA) as a physiological correlate of
arousal. We have validated our approach by conducting
experimental trials with 20 subjects in both open-loop (no
feedback) and closed-loop (negative feedback) conditions.
Our results show statistically significant differences among
the three game mechanics in terms of their effectiveness.
Specifically, manipulating car speed provides higher
arousal levels than modulating road visibility or vehicle
steering. Finally, we discuss the theoretical and practical
implications of our approach |
Masood, K; Choi, J; Ahmed, B; Gutierrez-Osuna, R Consistency and Validity of Self-reporting Scores in Stress Measurement Surveys Conference 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2012. @conference{masood2012embs,
title = {Consistency and Validity of Self-reporting Scores in Stress Measurement Surveys},
author = {K Masood and J Choi and B Ahmed and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/masood2012embs.pdf},
year = {2012},
date = {2012-09-01},
booktitle = {2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)},
pages = {4895-4898},
abstract = {Stress has been attributed to physiological and psychological demands that exceed the natural regulatory capacity of a person. Chronic stress is not only a catalyst for diseases such as hypertension, diabetes, insomnia but may also lead to social problems such as marriage breakups, suicide and violence. Objective assessment of stress is difficult so self-reports are commonly used to indicate the severity of stress. However, empirical information on the validity of self-reports is limited. The present study investigated the authenticity and validity of different self-report surveys. An analysis, based on a three-pronged strategy, was performed on these surveys. It was concluded that although subjects are prone to systematic error in reporting, self-reports can provide a useful substitute for data modeling specifically in stress evaluation where other objective assessments such as determination of stress using only physiological response are difficult.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Stress has been attributed to physiological and psychological demands that exceed the natural regulatory capacity of a person. Chronic stress is not only a catalyst for diseases such as hypertension, diabetes, insomnia but may also lead to social problems such as marriage breakups, suicide and violence. Objective assessment of stress is difficult so self-reports are commonly used to indicate the severity of stress. However, empirical information on the validity of self-reports is limited. The present study investigated the authenticity and validity of different self-report surveys. An analysis, based on a three-pronged strategy, was performed on these surveys. It was concluded that although subjects are prone to systematic error in reporting, self-reports can provide a useful substitute for data modeling specifically in stress evaluation where other objective assessments such as determination of stress using only physiological response are difficult. |
Parnandi, A; Son, Y; Shahin, M; Ahmed, B; Gutierrez-Osuna, R Architecture of an Automated Therapy Tool for Childhood Apraxia of Speech Technical Report 2012. @techreport{parnandi2012techreport-2,
title = {Architecture of an Automated Therapy Tool for Childhood Apraxia of Speech},
author = {A Parnandi and Y Son and M Shahin and B Ahmed and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/parnandi2012techreport-2.pdf},
year = {2012},
date = {2012-08-21},
urldate = {2012-08-21},
abstract = {We present a multi-tier architecture for automating the administration of speech therapy to children suffering from apraxia of speech. This architecture follows a client-server model and facilitates task-oriented remote therapeutic training in home settings. The therapy regimen is remotely assigned to the child by a speech therapist based on a standardized protocol. We utilize tablet PCs to provide stimuli to the children and record their speech response. The speech data is then streamed to a back-end server running a specialized speech-processing module to identify errors and quantify the progress of the child. These automated results allow the therapist to closely monitor the performance of each child, provide relevant feedback, and adapt the training program as needed. Our proposed architecture can accommodate a variety of interaction modalities that can serve as a complement to traditional face-to-face speech practice. In this paper we describe the client-server architecture, the middleware tools upon which the system has been built, and the speechprocessing tools for automatically scoring the patients’ speech.},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
We present a multi-tier architecture for automating the administration of speech therapy to children suffering from apraxia of speech. This architecture follows a client-server model and facilitates task-oriented remote therapeutic training in home settings. The therapy regimen is remotely assigned to the child by a speech therapist based on a standardized protocol. We utilize tablet PCs to provide stimuli to the children and record their speech response. The speech data is then streamed to a back-end server running a specialized speech-processing module to identify errors and quantify the progress of the child. These automated results allow the therapist to closely monitor the performance of each child, provide relevant feedback, and adapt the training program as needed. Our proposed architecture can accommodate a variety of interaction modalities that can serve as a complement to traditional face-to-face speech practice. In this paper we describe the client-server architecture, the middleware tools upon which the system has been built, and the speechprocessing tools for automatically scoring the patients’ speech. |
Alamudun, F; Choi, J; Gutierrez-Osuna, R; Khan, H; Ahmed, B Removal of Subject-Dependent and Activity-Dependent Variation in Physiological Measures of Stress Conference Proceedings of Pervasive Computing Technologies for Healthcare, 2012, ISBN: 978-1-936968-43-5. @conference{alamudun2012phealth,
title = {Removal of Subject-Dependent and Activity-Dependent Variation in Physiological Measures of Stress},
author = {F Alamudun and J Choi and R Gutierrez-Osuna and H Khan and B Ahmed},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/alamudun2012phealth.pdf},
isbn = {978-1-936968-43-5},
year = {2012},
date = {2012-05-21},
booktitle = {Proceedings of Pervasive Computing Technologies for Healthcare},
pages = {115},
abstract = {The ability to monitor stress levels in daily life can provide valuable information to patients and their caretakers, help identify potential stressors, determine appropriate interventions, and monitor their effectiveness. Wearable sensor technology makes it now possible to measure non-invasively a number of physiological correlates of stress, from skin conductance to heart rate variability. These measures, however, show large individual differences and are also correlated with the physical activity of the subject. In this paper, we propose two multivariate signal processing techniques to reduce the effect of both forms of interference. The first method is an unsupervised technique that removes any systematic variation that is orthogonal to the dependent variable, in this case physiological stress. In contrast, the second method is a supervised technique that first projects the data into a subspace that emphasizes these systematic variations, and then removes them from the data. The two methods were validated on an experimental dataset containing physiological recordings from multiple subjects performing physical and/or mental activities. When compared to z-score normalization, the standard method for removing individual differences, our methods can reduce stress prediction errors by as much as 50%.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The ability to monitor stress levels in daily life can provide valuable information to patients and their caretakers, help identify potential stressors, determine appropriate interventions, and monitor their effectiveness. Wearable sensor technology makes it now possible to measure non-invasively a number of physiological correlates of stress, from skin conductance to heart rate variability. These measures, however, show large individual differences and are also correlated with the physical activity of the subject. In this paper, we propose two multivariate signal processing techniques to reduce the effect of both forms of interference. The first method is an unsupervised technique that removes any systematic variation that is orthogonal to the dependent variable, in this case physiological stress. In contrast, the second method is a supervised technique that first projects the data into a subspace that emphasizes these systematic variations, and then removes them from the data. The two methods were validated on an experimental dataset containing physiological recordings from multiple subjects performing physical and/or mental activities. When compared to z-score normalization, the standard method for removing individual differences, our methods can reduce stress prediction errors by as much as 50%. |
Choi, J; Ahmed, B; Gutierrez-Osuna, R Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors Journal Article In: IEEE Transactions on Information Technology in Biomedicine, no. 99, pp. 279 - 286, 2012. @article{choi2012titb,
title = {Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors},
author = {J Choi and B Ahmed and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/choi2012titb.pdf},
year = {2012},
date = {2012-03-01},
journal = {IEEE Transactions on Information Technology in Biomedicine},
number = {99},
pages = {279 - 286},
publisher = {IEEE},
abstract = {Chronic stress is endemic to modern society. However, as it is unfeasible for physicians to continuously monitor stress levels, its diagnosis is nontrivial. Wireless body sensor networks offer opportunities to ubiquitously detect and monitor mental stress levels, enabling improved diagnosis, and early treatment. This article describes the development of a wearable sensor platform to monitor a number of physiological correlates of mental stress. We discuss tradeoffs in both system design and sensor selection to balance information content and wearability. Using experimental signals collected from the wearable sensor, we describe a selected number of physiological features that show good correlation with mental stress. In particular, we propose a new spectral feature that estimates the balance of the autonomic nervous system by combining information from the power spectral density of respiration and heart rate variability. We validate the effectiveness of our approach on a binary discrimination problem when subjects are placed under two psychophysiological conditions: mental stress and relaxation. When used in a logistic regression model, our feature set is able to discriminate between these two mental states with a success rate of 81% across subjects.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chronic stress is endemic to modern society. However, as it is unfeasible for physicians to continuously monitor stress levels, its diagnosis is nontrivial. Wireless body sensor networks offer opportunities to ubiquitously detect and monitor mental stress levels, enabling improved diagnosis, and early treatment. This article describes the development of a wearable sensor platform to monitor a number of physiological correlates of mental stress. We discuss tradeoffs in both system design and sensor selection to balance information content and wearability. Using experimental signals collected from the wearable sensor, we describe a selected number of physiological features that show good correlation with mental stress. In particular, we propose a new spectral feature that estimates the balance of the autonomic nervous system by combining information from the power spectral density of respiration and heart rate variability. We validate the effectiveness of our approach on a binary discrimination problem when subjects are placed under two psychophysiological conditions: mental stress and relaxation. When used in a logistic regression model, our feature set is able to discriminate between these two mental states with a success rate of 81% across subjects. |
2011
|
Choi, J; Gutierrez-Osuna, R Removal of respiratory influences from heart rate variability in stress monitoring Journal Article In: IEEE Sensors Journal, vol. 11, no. 11, pp. 2649-2656, 2011. @article{choi2011removal,
title = {Removal of respiratory influences from heart rate variability in stress monitoring},
author = {J Choi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/choi2011removal.pdf},
year = {2011},
date = {2011-01-01},
journal = {IEEE Sensors Journal},
volume = {11},
number = {11},
pages = {2649-2656},
publisher = {IEEE},
abstract = {This paper addresses a major weakness of traditional heart-rate-variability (HRV) analysis for the purpose of monitoring stress: sensitivity to respiratory influences. To address this issue, a linear system-identification model of the cardiorespiratory system using commercial heart rate monitors and respiratory sensors was constructed. Subtraction of respiratory driven fluctuations in heart rate leads to a residual signal where the effects of mental stress become more salient. We experimentally validated the effectiveness of this method on a binary discrimination problem with two conditions: mental stress of subjects performing cognitive tasks and a relaxation condition. In the process, we also propose a normalization method that can be used to compensate for ventilation differences between paced and spontaneous breathing. Our results suggest that, by separating respiration influences, the residual HRV has more discrimination power than traditional HRV analysis for the purpose of monitoring mental stress/load.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper addresses a major weakness of traditional heart-rate-variability (HRV) analysis for the purpose of monitoring stress: sensitivity to respiratory influences. To address this issue, a linear system-identification model of the cardiorespiratory system using commercial heart rate monitors and respiratory sensors was constructed. Subtraction of respiratory driven fluctuations in heart rate leads to a residual signal where the effects of mental stress become more salient. We experimentally validated the effectiveness of this method on a binary discrimination problem with two conditions: mental stress of subjects performing cognitive tasks and a relaxation condition. In the process, we also propose a normalization method that can be used to compensate for ventilation differences between paced and spontaneous breathing. Our results suggest that, by separating respiration influences, the residual HRV has more discrimination power than traditional HRV analysis for the purpose of monitoring mental stress/load. |
2010
|
Choi, J; Ahmed, B; Gutierrez-Osuna, R Ambulatory Stress Monitoring with Minimally-Invasive Wearable Sensors Technical Report 2010. @techreport{choi10techreport,
title = {Ambulatory Stress Monitoring with Minimally-Invasive Wearable Sensors},
author = {J Choi and B Ahmed and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/choi2010techreport.pdf},
year = {2010},
date = {2010-11-10},
abstract = {Chronic stress can have serious health consequences, and is a leading risk factor for heart diseases, diabetes, asthma and depression. This article presents a minimally-invasive and wireless wearable sensor platform that can be used to monitor a number of physiological variables known to correlate with stress. We discuss the system design and sensor selection, both of which were guided as a tradeoff between information content and wearability. The platform is thoroughly evaluated through a battery of tests that elicit mental workload and physical activity, as well as through subjective assessments of comfort. Our results indicate that the sensor system is responsive to three broad types of factors: mental workload, posture and physical activity. We also describe a system-identification method that improves detection of mental stress by removing respiratory influences on heart rate.},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
Chronic stress can have serious health consequences, and is a leading risk factor for heart diseases, diabetes, asthma and depression. This article presents a minimally-invasive and wireless wearable sensor platform that can be used to monitor a number of physiological variables known to correlate with stress. We discuss the system design and sensor selection, both of which were guided as a tradeoff between information content and wearability. The platform is thoroughly evaluated through a battery of tests that elicit mental workload and physical activity, as well as through subjective assessments of comfort. Our results indicate that the sensor system is responsive to three broad types of factors: mental workload, posture and physical activity. We also describe a system-identification method that improves detection of mental stress by removing respiratory influences on heart rate. |
Choi, J; Gutierrez-Osuna, R Estimating mental stress using a wearable cardio-respiratory sensor Conference Proceedings of IEEE Sensors, IEEE 2010. @conference{choi2010sensorsc,
title = {Estimating mental stress using a wearable cardio-respiratory sensor},
author = {J Choi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/choi2010sensorsc.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of IEEE Sensors},
pages = {150--154},
organization = {IEEE},
abstract = {This article describes a signal-processing approach to detect mental stress using unobtrusive wearable sensors. The approach addresses a major weakness of traditional methods based on heart-rate-variability (HRV) analysis: sensitivity to respiratory influences. To address this issue, we build a linear model that predicts the effect of breathing on the autonomic nervous system activation, as measured through HRV. Subtraction of respiratory effects leads to a residual signal that provides better discrimination between mental stress and relaxation conditions than traditional HRV tachogram. The method is experimentally validated on a discrimination task with two psycho-physiological conditions: mental stress and relaxation. To illustrate the effectiveness of the method, we impose a pacing respiratory signal that interferes with the main spectral band of the sympathetic branch. Our results suggest that the HRV residual signal has more discrimination power than conventional HRV analysis in the presence of respiration interferences.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This article describes a signal-processing approach to detect mental stress using unobtrusive wearable sensors. The approach addresses a major weakness of traditional methods based on heart-rate-variability (HRV) analysis: sensitivity to respiratory influences. To address this issue, we build a linear model that predicts the effect of breathing on the autonomic nervous system activation, as measured through HRV. Subtraction of respiratory effects leads to a residual signal that provides better discrimination between mental stress and relaxation conditions than traditional HRV tachogram. The method is experimentally validated on a discrimination task with two psycho-physiological conditions: mental stress and relaxation. To illustrate the effectiveness of the method, we impose a pacing respiratory signal that interferes with the main spectral band of the sympathetic branch. Our results suggest that the HRV residual signal has more discrimination power than conventional HRV analysis in the presence of respiration interferences. |
2009
|
Choi, J; Gutierrez-Osuna, R Using heart rate monitors to detect mental stress Conference Sixth International Workshop on Wearable and Implantable Body Sensor Networks, IEEE 2009. @conference{choi2009using,
title = {Using heart rate monitors to detect mental stress},
author = {J Choi and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/choi2009using.pdf},
year = {2009},
date = {2009-01-01},
booktitle = {Sixth International Workshop on Wearable and Implantable Body Sensor Networks},
pages = {219--223},
organization = {IEEE},
abstract = {This article describes an approach to detecting mental stress using unobtrusive wearable sensors. The approach relies on estimating the state of the autonomic nervous system from an analysis of heart rate variability. Namely, we use a non-linear system identification technique known as principal dynamic modes (PDM) to predict the activation level of the two autonomic branches: sympathetic (i.e. stress-inducing) and parasympathetic (i.e. relaxation-related). We validate the method on a discrimination problem with two psychophysiological conditions, one associated with mental tasks and one induced by relaxation exercises. Our results indicate that PDM features are more stable and less subject-dependent than spectral features, though the latter provide higher classification performance within subjects. When PDM and spectral features are combined, our system discriminates stressful events with a success rate of 83% within subjects (69% between subjects).},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This article describes an approach to detecting mental stress using unobtrusive wearable sensors. The approach relies on estimating the state of the autonomic nervous system from an analysis of heart rate variability. Namely, we use a non-linear system identification technique known as principal dynamic modes (PDM) to predict the activation level of the two autonomic branches: sympathetic (i.e. stress-inducing) and parasympathetic (i.e. relaxation-related). We validate the method on a discrimination problem with two psychophysiological conditions, one associated with mental tasks and one induced by relaxation exercises. Our results indicate that PDM features are more stable and less subject-dependent than spectral features, though the latter provide higher classification performance within subjects. When PDM and spectral features are combined, our system discriminates stressful events with a success rate of 83% within subjects (69% between subjects). |
