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Inferring Static Hand Poses from a Low-Cost Non-Intrusive sEMG Sensor
Every year, a significant number of people lose a body part in an accident, through sickness or in high-risk manual jobs. Several studies and research works have tried to reduce the constraints and risks in their lives through the use of technology. This work proposes a learning-based approach that...
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| Yayımlandı: | Sensors (Basel) |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6359473/ https://ncbi.nlm.nih.gov/pubmed/30658480 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19020371 |
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