Sparse representation based classification scheme for human activity recognition using smartphones

The availability of built-in sensors in mobile devices have paved a way for researchers to accurately determine human activities through these sensors. In this paper, we present a novel action recognition system based on sparse representation wherein, eight different human activities were classified. Our proposed classifier employs data of accelerometer, gyroscope, magnetometer and orientation sensor equipped in smartphones for recognizing human...