Bending Angle Sensor Based on Double-Layer Capacitance Suitable for Human Joint
<italic>Goal</italic>: To develop bending angle sensors based on double-layer capacitance for monitoring joint angles during cycling exercises. <italic>Methods</italic>: We develop a bending angle sensor based on double-layer capacitive and conducted three stretching, bending...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Open Journal of Engineering in Medicine and Biology |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10168208/ |
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Summary: | <italic>Goal</italic>: To develop bending angle sensors based on double-layer capacitance for monitoring joint angles during cycling exercises. <italic>Methods</italic>: We develop a bending angle sensor based on double-layer capacitive and conducted three stretching, bending, and cycling tests to evaluate its validity. <italic>Results</italic>: We demonstrate that the bending angle sensor based on double-layer capacitance minimizes the change in the capacitance difference in the stretching test. The hysteresis and root mean square error (RMSE) compared with the optical motion capture show hysteresis: 8.0% RMSE and 3.1° in the bending test. Moreover, a cycling experiment for human joint angle measurements confirm the changes in accuracy. The RMSEs ranged from 4.7° to 7.0°, even when a human wears leggings fixed with the developed bending-angle sensor in the cycling test. <italic>Conclusion</italic>: The developed bending angle sensor provides a practical application of the quantitative and observational evaluation tool for knee joint angles. |
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ISSN: | 2644-1276 |