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Real-Time Automated Multiplexed Sensor System for Driver Drowsiness Detection

Publication Type : Conference Paper

Thematic Areas : Wireless Network and Application

Publisher : WiCOM 2011

Source : 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011, Wuhan, 2011

Url :

ISBN : 9781424462520

Keywords : Accidents, Alarm systems, Alert dissemination, Data reduction, Drowsiness detection, Engineering research, Heart rate variations, Mobile computing, Monitoring, Physiological models, Real time monitoring, Real time systems, Real-time data, Reflective sensors, Sensors, Telecommunication networks, Wireless ad hoc networks, Wireless networks, Wireless sensor, Wireless telecommunication systems

Campus : Amritapuri

School : School of Engineering

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Electronics and Communication

Year : 2011

Abstract : Increased stress level in working environments, reduced sleep, variation in sleep pattern and time due to the adaptation of global time zone in working environments, increase in alcohol consumption, larger distance travel using high power automobiles, etc., contributes to increased level of driver drowsiness and fatigue. In the past decade, steep increase in accidents and loss of life was experienced mainly due to the increase in the driver drowsiness and fatigue. This research work aims in developing an intelligent wireless sensor network to monitor, and detect driver drowsiness in real-time. This real-time system consists of multiple non-obstructive sensors which continuously monitor the driver's physiological parameters and disseminate the first level alarm to the driver and the passengers. The second level alarm will be disseminated, along with the vehicle identification number and the real-time location coordinates of the driver, to the nearby police station or the rescue teams using the available wireless ah-hoc network, if the driver's state does not change even after the first level alarm. This research work contributed to the design and development of system architecture for real-time monitoring and detection of driver drowsiness. This work also integrated effective real-time sensor fusion techniques for monitoring the heart rate collected from the driver. One of the novel ideas in this research work is the development of multiple sensors embedded in the steering wheel capable to measure the heart rate and dynamically alert the driver or the rescue team about the driver drowsiness, to avert accidents. © 2011 IEEE.

Cite this Research Publication : Dr. Maneesha V. Ramesh, Nair, A. K., and Kunnath, A. T., “Real-Time Automated Multiplexed Sensor System for Driver Drowsiness Detection”, in 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011, Wuhan, 2011

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