Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders

摘要: This paper presents a novel method of gait recognition that uses the image and depth sensors Microsoft (MS) Kinect to track skeleton moving body allows for simple human---machine interaction. While video sequences acquired by complex camera systems enable very precise data analyses motion detection, much simpler technical devices can be used analyze frames with sufficient accuracy in many cases. The experimental part this is devoted acquisition from 18 individuals Parkinson's disease healthy age-matched controls via proposed MS graphical user interface. methods designed frame processing include selection segments filtering estimation chosen characteristics. computational algorithms matrices were then spatial modeling bodies selected features. Normalized mean stride lengths evaluated those control group determined 0.38 0.53 m, respectively. These as features classification. achieved was >90 %, which suggests potential use these applications. Further increases classification additional biosensors are also discussed.