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Multi-parametric analysis of sensory data collected from automotive drivers for building a safety-critical wearable computing system

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2 Author(s)
Singh, R.R. ; Electr. & Electron. Eng. Group, Birla Inst. of Technol.&Sci., Pilani, India ; Banerjee, R.

We present a methodology and an off-line analysis of data collected from several body-mounted sensors for automotive drivers during multiple fixed-route, segmented driving on real roads. This analysis was used for a range of preliminary processes including those related but not limited to stress detection. It also attempts to illustrate cases of several drivers for whom the real-time data acquisition was carried out through online physiological sensors. This analysis is to be used to designing and building a wearable computer involving Body Sensor Network for avoiding road accidents. In order to estimate the mental and physical fatigue to which a driver may be subjected to, we collected GSR, SpO2, Respiration, and ECG signals during relaxed and stressful driving scenarios.

Published in:

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on  (Volume:1 )

Date of Conference:

16-18 April 2010