International Workshop on Mobile Security

Research Article

Activity-Aware Mental Stress Detection Using Physiological Sensors

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  • @INPROCEEDINGS{10.1007/978-3-642-29336-8_12,
        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={International Workshop on Mobile Security},
        proceedings_a={MOBILE SECURITY},
        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_12}
    }
    
  • Feng-Tso Sun
    Cynthia Kuo
    Heng-Tze Cheng
    Senaka Buthpitiya
    Patricia Collins
    Martin Griss
    Year: 2012
    Activity-Aware Mental Stress Detection Using Physiological Sensors
    MOBILE SECURITY
    Springer
    DOI: 10.1007/978-3-642-29336-8_12
Feng-Tso Sun1,*, Cynthia Kuo,*, Heng-Tze Cheng1,*, Senaka Buthpitiya1,*, Patricia Collins1,*, Martin Griss1,*
  • 1: Carnegie Mellon University
*Contact email: lucas.sun@sv.cmu.edu, cynthia.kuo@nokia.com, hengtze.cheng@sv.cmu.edu, senaka.buthpitiya@sv.cmu.edu, patricia.collins@sv.cmu.edu, martin.griss@sv.cmu.edu

Abstract

Continuous stress monitoring may help users better understand their stress patterns and provide physicians with more reliable data for interventions. Previously, studies on mental stress detection were limited 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 application for everyday use. The physiological responses caused by mental stress can be masked by variations due to physical activity.