可感知躯干到手腕14种动作的触觉服,准确率提升至94.6%。
Funabot-Upper: McKibben Actuated Haptic Suit Inducing Kinesthetic Perceptions in Trunk, Shoulder, Elbow, and Wrist
- 通过独立刺激关节与肌肉,避免多部位感知混淆。
- 实验验证在4个部位成功诱导14种动作感知,准确率达94.6%。
- 适合虚拟现实、康复训练等需精准体感反馈的场景。
本文提出Funabot-Upper,一种可穿戴触觉服,能使人感知14种上肢动作,涵盖躯干、肩、肘和腕部。以往触觉设备多仅针对单一身体部位,且难以在多部位同时实现精准感知。此前我们基于人工肌肉收缩实现服装三维形变,开发了可感知7种动作的触觉服,但存在肩与肘间感知混淆问题。本研究提出新简化设计策略,实现对各关节与肌肉的独立刺激,开发出新型触觉服。实验验证了该设计下多关节动作感知的有效性,并分析刺激与感知间的关联。结果表明,与前代Funabot-Suit相比,识别准确率从68.8%提升至94.6%,显著改善感知清晰度,展现了其在触觉交互中的应用潜力。
原文摘要 · Abstract (English)
This paper presents Funabot-Upper, a wearable haptic suit that enables users to perceive 14 upper-body motions, including those of the trunk, shoulder, elbow, and wrist. Inducing kinesthetic perception through wearable haptic devices has attracted attention, and various devices have been developed in the past. However, these have been limited to verifications on single body parts, and few have applied the same method to multiple body parts as well. In our previous study, we developed a technology that uses the contraction of artificial muscles to deform clothing in three dimensions. Using this technology, we developed a haptic suit that induces kinesthetic perception of 7 motions in multiple upper body. However, perceptual mixing caused by stimulating multiple human muscles has occurred between the shoulder and the elbow. In this paper, we established a new, simplified design policy and developed a novel haptic suit that induces kinesthetic perceptions in the trunk, shoulder, elbow, and wrist by stimulating joints and muscles independently. We experimentally demonstrated the induced kinesthetic perception and examined the relationship between stimulation and perceived kinesthetic perception under the new design policy. Experiments confirmed that Funabot-Upper successfully induces kinesthetic perception across multiple joints while reducing perceptual mixing observed in previous designs. The new suit improved recognition accuracy from 68.8% to 94.6% compared to the previous Funabot-Suit, demonstrating its superiority and potential for future haptic applications.
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