Tip-Toe Walking Detection Using CPG Parameters from Skeleton Data Gathered by Kinect
Rasool Taban 1, Atoosa Parsa 1, and Hadi Moradi 1,2
۱.Advanced Robotics and Intelligent Systems Laboratory, School of ECE, College of Engineering University of Tehran, Tehran, Iran
۲.Intelligent Systems Research Institute SKKU, Suwon, South Korea
International Conference on Ubiquitous Computing and Ambient Intelligence (2017)
Distinguishing tip-toe walking from normal walking, in human locomotion patterns, becomes important in applications such as Autism disorder identification. In this paper, we propose a novel approach for tip-toe walking detection based on the walk’s Central Pattern Generator (CPG) parameters. In the proposed approach, the tip-toe walking is modeled by a CPG. Then, the motions of subjects are recorded and skeleton data are extracted using the first-generation Microsoft Kinect sensor. The CPG parameters of these motions are determined and compared to the given patterns to distinguish between tip-toe walking and normal walking. The accuracy of classification is promising while further data will improve the accuracy rate.