Life Science Journal 2013;10(4) http://www.lifesciencesite.com 3055 Risk prediction system based on MIMO system for vehicle users Vijey Thayananthan, Ahmed Alzahrani & Muhammad Shuaib Qureshi Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia. thayananthan@live.co.uk , asalzahrani@kau.edu.sa , msqureshi@kau.edu.sa Abstract: 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 Keywords: Risk prediction system, MIMO, Health monitoring system, e-Health 1 Introduction The driver who is getting tired would not know what he thinks and where he drives. Basically, driver becomes unconscious and he needs some sort of warning system, which helps him to make a safe driving. To keep necessary precaution during the driving, TWD should be automated through the proper warning system. RPS needs efficient communication, which provides better information and quick responses when symptoms are identified. In order to analyze the efficiency of communication and accuracy of the RPS, MIMO system will be one of the best solutions. In this proposal, efficiency and accuracy of risk prediction involved with communication are investigated and analyzed. In this analysis, errors of the risk predictions are minimized because resolutions are increased with new techniques, which uses MIMO channel with feedback and Pn-manifold [14]. The Pn-manifold is used for quantization, which determines the rates of the feedback categorized into two forms. They are infinite and finite rate feedback but available rates for practical MIMO is considered between these two rates. A basic MIMO configuration has two transmitters and two receivers, but it can have N transmitters and M receivers. Many wireless LAN (WLAN) devices used in E-Health applications [1-4] employ N×M configuration of N = 2 and M = 3. The MIMO system transmits the information of risk prediction over multiple channels. Regarding the E- Health applications, this technology can now be used in a wide range of medical communication devices including mobile phones, PDAs and laptops. In this proposal, the greatest testing challenge for MIMO systems involves with feedback and Pn-manifold, which provides less energy consumption, better spectrum and resolution during the transmission than the legacy systems. RPS needs efficiency when multiple risks are analyzed with some form priority order. Regarding the risk prediction communication, transmission of multiple signals requires efficient communication and accurate synchronization. Using a MIMO communication in which TWD is causing the serious problem, there are three ways to handle the RPS from the moving vehicles. First is the spatial multiplexing technique, which transmits the different risk prediction information on each channel. Here, throughput is increased. Second is spatial diversity technique, which transmits the same risk prediction information on each channel. Finally, beam forming technique, which improves the throughput and coverage by limiting the directionality and the shape of the transmitted signal. 2 Health Monitoring and Diagnostic System Monitoring and diagnostic systems controlled through remote mode and other wireless facilities are necessary because TWD within the remote areas need to be identified. So, this HMS and RPS will help them whenever and wherever they drive. Using these new technologies, drivers are not only protected from the unnecessary accidents but also they enjoy life with all latest medical facilities such as quick prescriptions,