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PERFORMANCE ANALYSIS OF MLP AND SVM BASED CLASSIFIERS FOR HUMAN ACTIVITY RECOGNITION USING SMARTPHONE SENSORS DATA
2016
International Journal of Research in Engineering and Technology
Days have gone when Mobile Phone used to be matter luxury, it has become a significant need for rapidly evolving fast track world. Intelligent aspects of the computing device enhance the importance of the interface development since; efficient collaboration always relies on the good communication between man and machine. The information about mobile device and user activity, environment, other devices, location and time can be utilized in different situations to enhance the interaction between
doi:10.15623/ijret.2016.0517002
fatcat:uiwjrmxgifgytkmk7gd6noco2e