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MSAS: An M-mental health care System for Automatic Stress detection | ||
| مطالعات روانشناسی بالینی | ||
| مقاله 7، دوره 8، شماره 28، مهر 1396، صفحه 72-80 اصل مقاله (616.57 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22054/jcps.2017.8156 | ||
| نویسنده | ||
| Saeid Pourroostaei Ardakani* | ||
| Assistant Professor in Computer Science, Allameh Tabataba’i University, Tehran, Iran | ||
| کلیدواژهها | ||
| stress؛ Mental Disorder؛ M-health؛ Sensory System؛ Artificial Intelligence | ||
| مراجع | ||
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Busso, C., Deng, Z., Yildirim, S., Bulut, M., Lee, M., C., Kazemzadeh, A., Lee, S., Neumann, U., & Narayanan, S. (2004). Analysis of Emotion Recognition using Facial Expressions, Speech and Multimodal Information. 6th international conference on Multimodal interfaces (pp. 205-211). 13-15 October, State College, PA, USA.
Chan, R., S., Torous, J., Hinton, L., & Yellowlees, P. (2014). Mobile Tele-Mental Health: Increasing Applications and a Move to Hybrid Models of Care. Healthcare, 2014(2), 220-233.
Healey, J., & Picard, R. (2005). Detecting Stress during Real-World Driving Tasks Using Physiological Sensors. IEEE Transactions on Intelligent Transportation Systems, 6(2), 156-166.
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Poh, M., Swenson, C., S., & Picard, R., W. (2004). A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 57(5), 1243-1252.
Sandulescu, V., Andrews, S., Ellis, D., Bellotto, N., & Mozos, O., M. (2015). Stress Detection Using Wearable Physiological Sensors. Book Chapter in Artificial Computation in Biology and Medicine, Springer International Publishing, 526-532.
Sano, A., & Picard, R., W. (2013). Stress Recognition using Wearable Sensors and Mobile Phones. Humaine Association Conference on Affective Computing and Intelligent Interaction (pp. 671-676). 2-5 September, Geneva, Switzerland.
Sharma, T., & Kapoor, B. (2013). Emotion estimation of physiological signals by using low power embedded system. International Conference on Advances in Communication and Control Systems (pp. 42-45). 6-8 April, DIT University, Dehradun, India.
Sioni, R. (2014). Stress Detection with Physiological Sensors for Evaluating Interactive Systems and Building Relaxation Training Applications. PhD Dissertation, Department of Mathematics and Computer Science, University of Udine. | ||
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