Detection of human gait cycle: An overlap based approach

In this paper, a novel and efficient human gait cycle detection method is proposed. Based on the number of leg overlapping, the correct sequence of gait cycle and the number of possible gait cycles for a subject are calculated. CASIA B human gait dataset is chosen for gait cycle detection. This simple and efficient gait cycle detection method is helpful to researchers in this era to overcome the challenges for better feature extraction and recognition performance.