Exploiting Serialized Fine-Grained Action Recognition Using WiFi Sensing

Gestures serve an important role in enabling natural interactions with computing devices, and they form an important part of everyday nonverbal communication. In increasingly many application scenarios of gesture interaction, such as gesture-based authentication, calligraphy, sketching, and even art...

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Veröffentlicht in:	Mobile information systems 2021-11, Vol.2021, p.1-17
Hauptverfasser:	Tong, Weiyuan, Li, Rong, Gong, Xiaoqing, Zhai, Shuangjiao, Zheng, Xia, Ye, Guixin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Calligraphy Case studies Interactive learning Machine learning Statistical methods Writing
Online-Zugang:	Volltext
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