Self-Powered Intelligent Human-Machine Interaction for Handwriting Recognition
Handwritten signatures widely exist in our daily lives. The main challenge of signal recognition on handwriting is in the development of approaches to obtain information effectively. External mechanical signals can be easily detected by triboelectric nanogenerators which can provide immediate opport...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association for the Advancement of Science (AAAS)
2021-01-01
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| Colecção: | Research |
| Acesso em linha: | http://dx.doi.org/10.34133/2021/4689869 |
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