Research Article
Activity-Aware Mental Stress Detection Using Physiological Sensors
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@INPROCEEDINGS{10.1007/978-3-642-29336-8_16, author={Feng-Tso Sun and Cynthia Kuo and Heng-Tze Cheng and Senaka Buthpitiya and Patricia Collins and Martin Griss}, title={Activity-Aware Mental Stress Detection Using Physiological Sensors}, proceedings={Mobile Computing, Applications, and Services. Second International ICST Conference, MobiCASE 2010, Santa Clara, CA, USA, October 25-28, 2010, Revised Selected Papers}, proceedings_a={MOBICASE}, year={2012}, month={10}, keywords={Mental stress electrocardiogram galvanic skin response physical activity heart rate variability decision tress Bayes net support vector machine stress classifier}, doi={10.1007/978-3-642-29336-8_16} }
- Feng-Tso Sun
Cynthia Kuo
Heng-Tze Cheng
Senaka Buthpitiya
Patricia Collins
Martin Griss
Year: 2012
Activity-Aware Mental Stress Detection Using Physiological Sensors
MOBICASE
Springer
DOI: 10.1007/978-3-642-29336-8_16
Abstract
Continuous stress monitoring may help users better under- stand their stress patterns and provide physicians with more reliable data for interventions. Previously, studies on mental stress detection were lim- ited to a laboratory environment where participants generally rested in a sedentary position. However, it is impractical to exclude the effects of physical activity while developing a pervasive stress monitoring appli- cation for everyday use. The physiological responses caused by mental stress can be masked by variations due to physical activity.
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