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Real-time classification of hand movements as a basis for intuitive control of grasp neuroprostheses
Autor:
Amelin Dmitry, Potapov Ivan, Audí Josep Cardona, Kogut Andreas, Rupp Rüdiger, Ruff Roman, Hoffmann Klaus-Peter
Publikováno v:
Current Directions in Biomedical Engineering, Vol 6, Iss 2, Pp 631-54 (2020)
This paper reports on the evaluation of recurrent and convolutional neural networks as real-time grasp phase classifiers for future control of neuroprostheses for people with high spinal cord injury. A field-programmable gate array has been chosen as
Externí odkaz:
https://doaj.org/article/ce4d546b8a974e4fba59f1e7337a8eab