1. Use of depth sensors in the analysis of shoulder joint movements.
- Author
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Özsoy, Umut, Yıldırım, Yılmaz, Karaşin, Sezen, Şekerci, Rahime, and Süzen, Lüftiye Bikem
- Subjects
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RANGE of motion of joints , *SHOULDER , *MOTION capture (Human mechanics) , *SHOULDER joint , *MOTION detectors , *DETECTORS , *MICROSOFT Azure (Computing platform) - Abstract
Objective: Clinicians need accurate, reproducible, and costeffective analysis systems in analyzing movements. Although marker-based motion analysis systems have been accepted as gold-standard methods, they are difficult to access due to high costs. In addition, placing the markers is time-consuming and disadvantageous in patient comfort. With the developing technology, motion analysis systems that do not need a marker are widespread. Our study is to test the usability of Microsoft's new motion sensor in analyzing shoulder movements. Methods: In our study, we tested the dominant side shoulder flexion movements of 10 healthy individuals (5 females and five males) using the Microsoft Azure Kinect sensor. We used iPisoft 3D analysis software for the study. We calculated the range of motion of the shoulder joint Results: As a result of the analysis, we determined the range of motion during shoulder flexion to be 160±5°. Conclusion: The results we found are close to the range of motion of healthy individuals. We think Microsoft's new version sensor can be used in the shoulder range of motion. Future studies that will include more participants and different joint movements will better understand. Our study was financially supported by Akdeniz University Scientific Research Projects Unit (TSA-2020-5373). [ABSTRACT FROM AUTHOR]
- Published
- 2022