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About this paper
Aabira Zaman, Kaijie Shi, Xianta Jiang
Researchers at Memorial University of Newfoundland developed an IMU-based gesture-triggered interface to enhance shared-autonomous prosthetic control. The system demonstrates that integrating voluntary user triggers significantly improves the reliability of prosthetic release actions and overall user agency, with the elbow flap gesture proving most effective and a hybrid control mode balancing automation and user input optimally.
Key insights
- IMU-based voluntary triggers substantially improve the reliability of prosthetic release actions and overall user agency, with hybrid and manual modes significantly outperforming fully autonomous control for release tasks.
- The elbow flap gesture emerges as an optimal trigger, offering high detection accuracy (95.37%), ergonomic comfort, social acceptability, and a favorable workload profile for users.
- A hybrid control mode effectively balances autonomous efficiency with user agency, providing high accuracy comparable to manual mode while reducing user effort and receiving high user preference for responsiveness and ease of use.
Summary by alphaXiv.
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