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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Detalles Bibliográficos
Autores principales: Guo, Hang, Wan, Ji, Wang, Haobin, Wu, Hanxiang, Xu, Chen, Miao, Liming, Han, Mengdi, Zhang, Haixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035911/
https://www.ncbi.nlm.nih.gov/pubmed/33880448
http://dx.doi.org/10.34133/2021/4689869

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035911/
https://www.ncbi.nlm.nih.gov/pubmed/33880448
http://dx.doi.org/10.34133/2021/4689869

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