Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping.
作者： John E. Downey , Jeffrey M. Weiss , Katharina Muelling , Arun Venkatraman , Jean-Sebastien Valois
DOI: 10.1186/S12984-016-0134-9
关键词:
摘要: Background Recent studies have shown that brain-machine interfaces (BMIs) offer great potential for restoring upper limb function. However, grasping objects is a complicated task and the signals extracted from brain may not always be capable of driving these movements reliably. Vision-guided robotic assistance one possible way to improve BMI performance. We describe method shared control where user controls prosthetic arm using receives with positioning hand when it approaches an object.
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