MoCaPose demonstrates improved motion capture and human activity recognition using capacitive sensors in smart textiles, suggesting a shift towards wearable technology.
The pursuit of seamless human activity recognition and monitoring has driven extensive research into wearable sensing technologies. While inertial measurement units (IMUs) have become a dominant modality, challenges remain in achieving comfortable, unobtrusive integration - particularly for applications demanding longterm wearability and design flexibility. Conventional IMU-based systems often necessitate rigid attachment to specific body locations, hindering their adoption in fashion-forward or everyday garments. MoCaPose [1] is a novel approach that decouples sensor position from pose estimation by leveraging multi-channel capacitive sensing integrated within loose-fitting smart textiles. We aim to demonstrate the potential of this paradigm shift for creating truly wearable motion capture systems which can be used for human activity recognition (HAR) that prioritize both functionality and aesthetic integration.
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Zhou et al. (2025) studied this question.
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