Abstract
This chapter presents a potential method of achieving dexterous control of a prosthetic hand using a brain-computer interface (BCI). Major control successes with invasive BCIs have been achieved by recording the activity of small populations of neurons in motor areas of the cortex. Even the activity of single neurons can be used to directly control computer cursors or muscle stimulators. The combination of this direct neural control with anthropomorphic hand prostheses has great promise for the restoration of dexterity. Based on users’ requirements for a functional hand prosthesis, a fully anthropomorphic robot hand is required. Recent work in our laboratories has developed two new technologies, the Neurochip and the Anatomically Correct Testbed (ACT) Hand. These technologies are described and some examples of their performance are given. We conclude by describing the advantages of merging these approaches, with the goal of achieving dexterous control of a prosthetic hand.
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Widge, A.S., Moritz, C.T., Matsuoka, Y. (2010). Direct Neural Control of Anatomically Correct Robotic Hands. In: Tan, D., Nijholt, A. (eds) Brain-Computer Interfaces. Human-Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-84996-272-8_7
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DOI: https://doi.org/10.1007/978-1-84996-272-8_7
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