According to World Health Organization, worldwide, every year, more than 12 million people are killed in accidents and more than 500 million people are injured. In this research work, we have designed a context aware wireless sensor system to detect and locate road accidents in real-time. Context acquisition is performed using onboard sensors such as accelerometer, gyroscope, flex sensor and sensors from Smartphone such as accelerometer, microphone, GPS etc. A learning algorithm is proposed to perform context modeling, inference, and context-based action initiation. Participatory sensing techniques are integrated with the proposed system to ensure system enhancement and reduce false alarms.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@5f7b4e7 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@4985acc0 Through org.apache.xalan.xsltc.dom.DOMAdapter@671096f5; Conference Code:100674
Dr. Maneesha V. Ramesh, Vidya, P. T., and Preeja Pradeep, “Context Aware Wireless Sensor System Integrated with Participatory Sensing for Real Time Road Accident Detection”, Tenth International Conference on Wireless and Optical Communications Networks (WOCN), 2013 . IEEE, Bhopal, pp. 1-5, 2013.