Machine Learning Glove Using Self‐Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications

The rapid progress of Internet of things (IoT) technology raises an imperative demand on human machine interfaces (HMIs) which provide a critical linkage between human and machines. Using a glove as an intuitive and low‐cost HMI can expediently track the motions of human fingers, resulting in a stra...

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Detalles Bibliográficos
Autores principales: Wen, Feng, Sun, Zhongda, He, Tianyiyi, Shi, Qiongfeng, Zhu, Minglu, Zhang, Zixuan, Li, Lianhui, Zhang, Ting, Lee, Chengkuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Full Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375248/
https://www.ncbi.nlm.nih.gov/pubmed/32714750
http://dx.doi.org/10.1002/advs.202000261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375248/
https://www.ncbi.nlm.nih.gov/pubmed/32714750
http://dx.doi.org/10.1002/advs.202000261

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