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Wang G, Zhu B, Fan Y, Wu M, Wang X, Zhang H, Yao L, Sun Y, Su B, Ma Z. Design and evaluation of an exergame system to assist knee disorders patients' rehabilitation based on gesture interaction. Health Inf Sci Syst 2022; 10:20. [PMID: 36032777 PMCID: PMC9411482 DOI: 10.1007/s13755-022-00189-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/05/2022] [Indexed: 10/15/2022] Open
Abstract
We designed a knee rehabilitation exercise game (Exergame) for home-based rehabilitation of patients with knee disorders. The system includes three functional components: knee exercise plan formulation, exergame, and exercise feedback. The 3D Human Pose Estimation based on images is used as the gesture interaction to capture the patient's primary joint motion data. We recruited 20 knee osteoarthritis (KOA) to evaluate the system's feasibility and user experience. The physician's group formulated the patient's exercise plans. The average accuracy of motion recognition is 95.2%, indicating that the system can effectively guide rehabilitation training for KOA patients. The results of the UEQ-S questionnaire, namely the practical quality value (1.63 ± 0.85), hedonic quality value (1.75 ± 0.86), and the total value (1.69 ± 0.86) of 20 patients, indicate that the system provides an excellent user experience, which improves the willingness and compliance of the patients for the active exercise. The above evidence confirms that the proposed approach is suitable for Knee disorders rehabilitation exercise and has promising application prospects. Supplementary Information The online version contains supplementary material available at 10.1007/s13755-022-00189-5.
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Affiliation(s)
- Guangjun Wang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031 China
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026 China
- The University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing, 246013 China
| | - Bangguo Zhu
- The University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing, 246013 China
| | - Yi Fan
- The University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing, 246013 China
| | - Ming Wu
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001 China
| | - Xueshu Wang
- The University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing, 246013 China
| | - Hanyuan Zhang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031 China
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026 China
- Department of Sports Medicine and Arthroscopic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022 China
| | - Liangliang Yao
- The University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing, 246013 China
| | - Yining Sun
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031 China
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026 China
| | - Benyue Su
- The University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing, 246013 China
| | - Zuchang Ma
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031 China
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026 China
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