Textile-Based Body Capacitive Sensing for Knee Angle Monitoring
Squat
Repeatability
DOI:
10.3390/s23249657
Publication Date:
2023-12-06T13:48:32Z
AUTHORS (4)
ABSTRACT
Monitoring human movement is highly relevant in mobile health applications. Textile-based wearable solutions have the potential for continuous and unobtrusive monitoring. The precise estimation of joint angles important applications such as prevention osteoarthritis or assessment progress physical rehabilitation. We propose a textile-based device knee angle through capacitive sensors placed different locations above contact with skin. exploited this modality to enhance baseline value sensors, hence facilitating readout. Moreover, are fabricated only one layer conductive fabric, which facilitates design realization device. observed capability our system predict sagittal comparison gold-standard optical motion capture during flexion from seated position squats: results showed an R2 coefficient between 0.77 0.99, root mean squared errors 4.15 12.19 degrees, absolute 3.28 10.34 degrees. Squat movements generally yielded more accurate predictions than position. combination data multiple resulted values 0.88 higher. This preliminary work demonstrates feasibility presented system. Future should include participants further assess accuracy repeatability presence larger interpersonal variability.
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