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Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure

Research Group for Pattern Recognition, University of Siegen, Hölderlinstr 3, 57076 Siegen, Germany
Punjab University College of Information Technology, University of the Punjab, Lahore 54000, Pakistan
Institute of Medical Informatics, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
Author to whom correspondence should be addressed.
Sensors 2020, 20(11), 3312;
Received: 11 May 2020 / Revised: 5 June 2020 / Accepted: 8 June 2020 / Published: 10 June 2020
(This article belongs to the Special Issue Multimodal Sensing for Understanding Behavior and Personality)
Movement analysis of human body parts is momentous in several applications including clinical diagnosis and rehabilitation programs. The objective of this research is to present a low-cost 3D visual tracking system to analyze the movement of various body parts during therapeutic procedures. Specifically, a marker based motion tracking system is proposed in this paper to capture the movement information in home-based rehabilitation. Different color markers are attached to the desired joints’ locations and they are detected and tracked in the video to encode their motion information. The availability of this motion information of different body parts during the therapy can be exploited to achieve more accurate results with better clinical insight, which in turn can help improve the therapeutic decision making. The proposed framework is an automated and inexpensive motion tracking system with execution speed close to real time. The performance of the proposed method is evaluated on a dataset of 10 patients using two challenging matrices that measure the average accuracy by estimating the joints’ locations and rotations. The experimental evaluation and its comparison with the existing state-of-the-art techniques reveals the efficiency of the proposed method. View Full-Text
Keywords: movement analysis; angle orientation; physiotherapy; rehabilitation movement analysis; angle orientation; physiotherapy; rehabilitation
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MDPI and ACS Style

Khan, M.H.; Zöller, M.; Farid, M.S.; Grzegorzek, M. Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure. Sensors 2020, 20, 3312.

AMA Style

Khan MH, Zöller M, Farid MS, Grzegorzek M. Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure. Sensors. 2020; 20(11):3312.

Chicago/Turabian Style

Khan, Muhammad Hassan, Martin Zöller, Muhammad Shahid Farid, and Marcin Grzegorzek. 2020. "Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure" Sensors 20, no. 11: 3312.

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