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Human Body Motion Tracking for Rehabilitation

文献类型: 会议论文

第一作者: Moraru Andrei

作者: Moraru Andrei 1 ; Eva-H. Dulf 1 ; Lehel Dénes-Fazakas 2 ; Levente Kovacs 2 ;

作者机构: 1.Department of Automation And Applied Informatics, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

2.Obuda University, University Research and Innovation Center, Physiological Controls Research Center, Obuda University|John von Neumann Faculty of Informatics, Biomatics and Applied Artificial Intelligence Institute, Obuda University|Applied Informatics and Applied Mathematics Doctoral School, Obuda University

关键词: Target tracking;Quaternions;Virtual reality;Patient rehabilitation;Sensor fusion;Time measurement;Sensor systems

会议名称: [ "International Conference on Intelligent Engineering Systems" , "IEEE International Conference on Intelligent Engineering Systems"]

主办单位:

页码: 209-214

摘要: Human body motion tracking is a key technique in robotics, virtual reality and other humancomputer interaction fields, for interactive mixed reality applications. Human motion tracking for rehabilitation is widely discussed by researchers in the last period, being motivated by the increased number of patients with motor function disability. For such patients rehabilitation is an important step to restore their functional capability to normal or close to normal. To reach this target, a patients activities need to be continuously monitored, and subsequently corrected. This involves accurate identification, tracking, and post-processing of movement. This paper thus proposes an open loop real time angle computation algorithm designed in Matlab®. Its efficacy was tested using an Arduino Nano® coupled with the MPU-6050 as the Inertial Measurement Units (IMU). The advantages of the proposed algorithm are presented by comparison with the already existing and widely used methods.

分类号: tp313

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