A User Study Method on Healthy Participants for Assessing an Assistive Wearable Robot Utilising EMG Sensing
<|reference_start|>A User Study Method on Healthy Participants for Assessing an Assistive Wearable Robot Utilising EMG Sensing: 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.<|reference_end|>
@article{suulker2024a,
    title={A User Study Method on Healthy Participants for Assessing an Assistive
  Wearable Robot Utilising EMG Sensing},
    author={Cem Suulker, Alexander Greenway, Sophie Skach, Ildar Farkhatdinov,
  Stuart Charles Miller, and Kaspar Althoefer},
    journal={Assistive Systems: Lab to Patient Care, ICRA2024 Workshop},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.00048},
    primaryClass={cs.RO}
}