Activity Recognition System Using Smartphone

Human activity monitoring is becoming more automated gradually. In near future it would be required more advanced electronic systems to assess physical activities. Today’s day most of the doctors and scientists use their memory or match data from text books for monitoring activities for checking dissimilarities of experimented data. Though for automated monitoring some digital modern instruments are working in some sophisticated places also. In this paper we will describe how to extract human walking features and patterns with Smartphone built in accelerometer. This will initiates the work to create model of different subjects of normal physique like short, average and long heights and walking of fast, medium and slow in speed. Walking features of healthy person can be compared with walking features of any patient with leg injury or some leg related diseases and result would give the nature of defects.