A New CNN Approach for Hand Gesture Classification using sEMG Data
In this paper, a new CNN architecture is introduced for classification of six different hand gestures using surface electromyography (EMG) data collected from the forearm. At first, two different deep neural networks produced based on Slow Fusion and Inception models separately. Then, the average of...
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| Format: | Article |
| Language: | English |
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Bursa Technical University
2020-06-01
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| Series: | Journal of Innovative Science and Engineering |
| Subjects: | |
| Online Access: | http://jise.btu.edu.tr/tr/download/article-file/1136957 |