Hand gesture classification using time–frequency images and transfer learning based on CNN
Hand gesture-based systems are one of the most effective technological advances and continue to develop with improvements in the field of human–computer interaction. Surface electromyography (sEMG) is utilized as a popular input data for gesture classification with elevated accuracy and advanced con...
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Published in | Biomedical signal processing and control Vol. 77; p. 103787 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.08.2022
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Subjects | |
Online Access | Get full text |
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