Enhancement modeling method of human gait

Gait recognition is one of the identification techniques that can be utilized nowadays. Hence in this study the six features of anatomical of human body are evaluated as feature extraction to develop the modeling of human walking gait. In addition, the proposed model is compared with the standard stick figure model specifically during walking by focusing both thigh and knee angles. Based on analyzing walking gait with CASIA database as input, it is observed that the proposed model worked well and is comparable with the standard stick model. This confirmed that the proposed model is indeed suitable to be used for human gait analysis and recognition and will be further evaluated in the next stage of work.