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

Content Provider	IEEE Xplore Digital Library
Author	Ranjan Singh, R. Banerjee, R.
Copyright Year	2010
Description	Author affiliation: Computer Science & Information Systems Group, Birla Institute of Technology & Science, Pilani, Rajasthan, India (Banerjee, R.) \|\| Electrical and Electronics Engineering Group, Birla Institute of Technology & Science, Pilani, Rajasthan, India (Ranjan Singh, R.)
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.
File Size	628076
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5486110
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Driver's Safety Data analysis Physiological parameters Data acquisition Buildings Human factors Wearable computing Automotive engineering Body sensor networks Road accidents Wearable computers Life estimation Sensors BSN Wearable sensors
Content Type	Text
Resource Type	Article

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