Risk prediction system based on MIMO system for vehicle users

Vehicle users are facing a number of health problems, which create complicated situations. Some cases are very serious in which the road accidents create fetal or long term disabilities. Risk prediction systems (RPS) and health monitoring systems (HMS) have been used for a number of e-Health applications, which are basics to some serious diseases. In this paper, tiredness while driving (TWD) is considered as a risk, which is indications of some symptoms caused in the drivers' health while they are driving. Efficient communication of RPS is the challenging problem because TWD is dangerous to all other drivers. Here, health related problems including tiredness are notified to driver who is becoming tired through the efficient RPS. In this novel approach, RPS should provide accurate information for each symptom created from any disease which creates the tiredness. So, we have decided to use multiple-input, multiple-output (MIMO) system, which enhances the efficiency of communication and accuracy of the correct reaction monitored from body. Also it provides less energy consumption, which reduces overall cost. In this MIMO system, feedback and computation of quantization considered as Pn-manifold provide better rates, resolution and spectrum during the communication than the existing systems. [Thayananthan V, Alzahrani A, Qureshi M.S. Risk prediction system based on MIMO system for vehicle users.. Life Sci J 2013;10(4):3055-3061]. (ISSN:1097-8135). http://www.lifesciencesite.com. 407