EMGセンシングを用いた支援ウェアラブルロボット評価のための健常者ユーザー研究手法
A User Study Method on Healthy Participants for Assessing an Assistive Wearable Robot Utilising EMG Sensing
空気圧駆動の布製ソフトロボットグローブを開発し、健常者を対象にEMGセンシングでその支援効果を検証した研究。
著者: Cem Suulker, Alexander Greenway, Sophie Skach, Ildar Farkhatdinov, Stuart Charles Miller, Kaspar Althoefer
分類: cs.RO
原文アブストラクト
Hand-wearable robots, specifically exoskeletons, are designed to aid hands in daily activities, playing a crucial role in post-stroke rehabilitation and assisting the elderly. Our contribution to this field is a textile robotic glove with integrated actuators. These actuators, powered by pneumatic pressure, guide the user's hand to a desired position. Crafted from textile materials, our soft robotic glove prioritizes safety, lightweight construction, and user comfort. Utilizing the ruffles technique, integrated actuators guarantee high performance in blocking force and bending effectiveness. Here, we present a participant study confirming the effectiveness of our robotic device on a healthy participant group, exploiting EMG sensing.
関連論文
- ラッフル強化テキスタイルアクチュエータを備えた支援用ソフトロボットグローブソフトロボティクス/リハビリ支援
