A Study About Feature Extraction for Stress Detection

被引:20
作者
Bornoiu, Ionut-Vlad [1 ]
Grigore, Ovidiu [1 ]
机构
[1] Univ Politehn Bucuresti, Fac Elect Comunicat & Informat Technol, Bucharest, Romania
来源
2013 8TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE) | 2013年
关键词
electrodermal activity; Fourier transformation; moving average filter; signal correlation; stimuli latency;
D O I
10.1109/ATEE.2013.6563421
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Stress can be associated with depression, heart disease, gastrointestinal problems, asthma, obesity, Alzheimer's disease, impaired driving, low productivity at the workplace, therefore stress detection is a very important research subject. Stress detection using the user's electrodermal activity is a very poor documented research area. This study will focus on presenting a few filtering techniques used to estimate the skin conductance level for stress evaluation, as well as a method used for establishing the user's latency between a given stimuli and the reaction to that stimuli.
引用
收藏
页数:4
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