Our work identifies subjects based on their height and the distance between their joints. Using a depth sensing camera, we obtained the position of a person's joints in 3D space relative to each other. The distances between adjacent joints and height of a subject's head are used to create a vector of eight features for an individual to use for identification. Using modified KNN, full and partial feature sets were used to identify subjects. Additionally, our classifier can be utilized to assess ambulation (such as walking's velocity and distance) of subject, when identified.