Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference
Hand gesture recognition applications based on surface electromiographic (sEMG) signals can benefit from on-device execution to achieve faster and more predictable response times and higher energy efficiency. However, deploying state-of-the-art deep learning (DL) models for this task on memory-const...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
MDPI AG
2023-02-01
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| Sraith: | Sensors |
| Ábhair: | |
| Rochtain ar líne: | https://www.mdpi.com/1424-8220/23/4/2065 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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