Carregant...
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...
Guardat en:
| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2019
|
| Matèries: | |
| Accés en línia: | 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 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|