MoCapaci:使用纺织电缆作为电容天线,在宽松的服装中进行姿势和手势检测

Hymalai Bello, Bo Zhou, Sungho Suh, P. Lukowicz
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引用次数: 12

摘要

我们提出了一种可穿戴系统,可以检测身体姿势和手势,而不需要将传感器牢固地固定在身体上或集成到紧身服装中。该传感系统可用于一件宽松的衣服,如外套/运动上衣。它以著名的特雷门乐器为基础,我们使用导电纺织天线和OpenTheremin硬件作为原型,将其低调地集成到标准的男士运动上衣中,即“MoCaBlazer”。14名身体大小不同、性别分布均衡的参与者穿着未扣纽扣的单一尺寸运动上衣,模仿20种手臂/躯干动作。使用最先进的深度学习方法,对遗漏一条记录的平均识别准确率达到97.18%,对用户自主识别的平均识别准确率达到86.25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas
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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