Sensors classification for stress analysis, toward automatic stress recognition
Stress affects peoples health and well-being of the worlds economies.Despite the progress in physiological stress recognition,there are problems that require solutions in the creation of automated systems of stress determination in prolonged real-life situations.These tasks are analysis of stress in daily life,during physical activity and personalization of this analysis.We described these tasks and answered the question: Why it is important to use context and behavioral data into stress recognition systems? We have presented sensors classification included behavioral and context data,physiological and physical features and others,like self-reports and questionnaires.And we have performed the stress model.
Stress model sensors classification behavioral data mobile context stress recognition
Mikhail Sysoev Urban Sedlar Andrej Kos Matev(z) Poga(c)nik
Laboratory for Telecommunications,Faculty of Electrical Engineering,University of Ljubljana Tr(z)a(s)ka 25,1000 Ljubljana,Slovenija
国际会议
北京
英文
117-121
2014-10-17（万方平台首次上网日期，不代表论文的发表时间）