Human gait is a complex phenomenon involving the motion of various parts of the body simultaneously in 3 dimensional space. The dynamics of different parts of the body translate the center of gravity from one point to another in the most energy efficient way. These body dynamics as well as the static parameters of different body parts contribute to gait recognition. Studies have been performed to assess the discriminatory power of static and dynamic features. The current research literature, however, lacks the work on the comparative significance of dynamic features from different parts of the body. This paper presents a comparative study for the recognition performance of dynamic features extracted from different parts of human body.