MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas

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Abstract

We present a wearable system to detect body postures and gestures that does not require sensors to be firmly fixed to the body or integrated into a tight-fitting garment. The sensing system can be used in a loose piece of clothing such as a coat/blazer. It is based on the well-known theremin musical instrument, which we have unobtrusively integrated into a standard men's blazer using conductive textile antennas and OpenTheremin hardware as a prototype, the "MoCaBlazer."Fourteen participants with diverse body sizes and balanced gender distribution mimicked 20 arm/torso movements with the unbuttoned, single-sized blazer. State-of-The-Art deep learning approaches were used to achieve average recognition accuracy results of 97.18% for leave one recording out and 86.25% for user independent recognition.

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Bello, H., Zhou, B., Suh, S., & Lukowicz, P. (2020). MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas. In Proceedings - International Symposium on Wearable Computers, ISWC (pp. 78–83). Association for Computing Machinery. https://doi.org/10.1145/3460421.3480418

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