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Human gesture analysis for action recognition

In this paper, we propose an algorithm for human gesture analysis for the action recognition using Microsoft kinect sensor to build physiotherapy application. Kinect is able to generate depth image from RGB image and generate human skeleton from the depth image. In this method, therapist may record the exercise and patients are required to mimic that exercise at home. This system is able to track their progress as well as recognize the action of patients. If a patient do not perform properly, then it gives the suggestion based on the information of angle between joints of human skeleton. We design codebook for each action, which contains different key posture frames for each action. To find the match between two frames, we make the use of the concept of star distance. We evaluate our proposed system with large number of scenarios and analysed with Hidden Markov Model to recognise the action.