Human Hand and Leg movement Identification using Machine Learning Classifiers
In this paper, we present a new technology on human activity identification using multiple algorithm. Using this algorithm we can recognize actions like walking, running, jogging, sitting, sleeping, fighting, surfing. This algorithm will differentiates the regular activities and irregular activities using KNN algorithm. When irregular activities are recognized using video surveillance camera it will be intimated to respective department. Firstly trained dataset should be processed and input is taken from surveillance camera and will be divided into 20m/s frames. Input frames will be corelated with the trained data set and differentiates activities using KNN algorithm.
Keywords : human action recognition, cnn algorithm, activity recognition, knn algorithm, harrris corner detection.