Artificial Perception and Semiautonomous Control in Myoelectric Hand Prostheses Increases Performance and Decreases Effort
نویسندگان
چکیده
Dexterous control of upper limb prostheses with multiarticulated wrists/hands is still a challenge due to the limitations myoelectric man-machine interfaces. Multiple factors limit overall performance and usability these interfaces, such as need degrees freedom sequentially not concurrently, inaccuracies in decoding user intent from weak or fatigued muscles. In this article, we developed novel interface that endows prosthesis (MYO) artificial perception, estimation intention, intelligent (MYO-PACE) continuously support automation while preparing for grasping. We compared MYO-PACE against state-of-the-art (pattern recognition) laboratory clinical tests. For purpose, eight able-bodied two amputee individuals performed standard test consisting series manipulation tasks (portion SHAP test), well more complex sequence transfer cluttered scene. all tests, subjects only completed trials faster using but also achieved efficient control. These results demonstrate implementation advanced context interpretation, autonomous decision-making into active improves dexterity. Moreover, it effectively supports by speeding up preshaping phase movement decreasing muscle use.
منابع مشابه
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ژورنال
عنوان ژورنال: IEEE Transactions on Robotics
سال: 2021
ISSN: ['1552-3098', '1941-0468', '1546-1904']
DOI: https://doi.org/10.1109/tro.2020.3047013