Learning Data Correction for Myoelectric Hand Based on “Survival of the Fittest”
In recent years, myoelectric hands have become multi-degree-of-freedom (DOF) devices, which are controlled via machine learning methods. However, currently, learning data for myoelectric hands are gathered manually and thus tend to be of low quality. Moreover, in the case of infants, gathering accur...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2021-01-01
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| Series: | Cyborg and Bionic Systems |
| Online Access: | http://dx.doi.org/10.34133/2021/9875814 |