Elbow Angle Guidance System Based on Surface Haptic Sensations Elicited by Lightweight Wearable Fabric Actuator

πŸ“… 2026-08-10
πŸ“ˆ Citations: 0
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πŸ€– AI Summary
This work proposes a lightweight elbow joint angle guidance system based on fabric-integrated McKibben-type artificial muscles, designed to overcome the limitations of existing wearable haptic devices that often impede natural movement and fail to deliver intuitive, posture-synchronized feedback. By applying skin-conforming tactile stimulation, the system dynamically modulates feedback intensity in real time to align with the user’s elbow flexion and extension motions. Engineered for minimal intrusiveness, low weight, and high compliance, the device enables accurate guidance toward target elbow angles without disrupting daily activities. Experimental validation demonstrates that the system successfully establishes an intuitive haptic guidance mechanism that operates in synergy with natural postural dynamics.
πŸ“ Abstract
The demand for wearable haptic devices has rapidly increased for various applications. However, many haptic devices interfere with the wearer's activities and movements. In addition, several haptic devices fail to elicit intuitive haptic sensations by adjusting to the natural posture of the wearer. To address these issues, we propose an elbow angle guidance system using a lightweight wearable fabric actuator. The proposed actuator is made of fabric and has two McKibben-type artificial muscles attached to it, rendering it extremely lightweight and facilitating the delivery of surface haptic sensations to intuitively induce elbow extension and flexion. The surface haptic sensation elicited by the fabric actuator is adjusted to natural body movements without interfering with the wearer's movements. Moreover, the proposed system measures and guides the elbow angle by changing the intensity of the surface haptic sensation delivered to users in real time. The accuracy of the proposed system is demonstrated through experiments involving human participants.
Problem

Research questions and friction points this paper is trying to address.

wearable haptic devices
elbow angle guidance
surface haptic sensations
natural posture
movement interference
Innovation

Methods, ideas, or system contributions that make the work stand out.

wearable fabric actuator
surface haptic sensation
elbow angle guidance
McKibben artificial muscle
intuitive haptic feedback
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Kenta Yokoe
Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Aichi 464-8603, Japan
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