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Detection of Automobile Drivers Stress from Physiological Signals?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 4)

Publication Date:

Authors : ; ;

Page : 454-458

Keywords : Stress; ECG; EEG; respiratory signal; Support Vector Machine (SVM);

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This project gives an analysis of various physiological signals of a person with respect to the stress developed within him/her. The analysis of stress was done using ECG, EEG and respiratory signals acquired from the automobile drivers who were made to drive on different road conditions to get different stress levels. As a part of analysis, two features were extracted from the physiological signals and it clearly shows the changes in the feature with respect to the stress of the driver. From the extracted feature, stress is classified using SVM classifier. The performance of the networks was tested and compared with other physiological signal and produce better result with high accuracy.

Last modified: 2014-04-16 16:19:58