DocumentCode :
518382
Title :
Multi-parametric analysis of sensory data collected from automotive drivers for building a safety-critical wearable computing system
Author :
Singh, Rajiv Ranjan ; Banerjee, Rahul
Author_Institution :
Electr. & Electron. Eng. Group, Birla Inst. of Technol.&Sci., Pilani, India
Volume :
1
fYear :
2010
fDate :
16-18 April 2010
Abstract :
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.
Keywords :
body sensor networks; data acquisition; road accidents; road safety; sensor fusion; wearable computers; ECG signals; GSR; SpO2; automotive drivers; body sensor network; body-mounted sensors; data off-line analysis; multiparametric analysis; online physiological sensors; real-time data acquisition; road accidents; safety-critical wearable computing system; stress detection; wearable computer; Automotive engineering; Body sensor networks; Buildings; Data acquisition; Data analysis; Human factors; Life estimation; Road accidents; Wearable computers; Wearable sensors; BSN; Driver´s Safety; Physiological parameters; Sensors; Wearable computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
Type :
conf
DOI :
10.1109/ICCET.2010.5486110
Filename :
5486110
Link To Document :
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