Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet

Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet

10.3390/mti4030047

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書目詳細資料
Main Authors:	Vedhagiri, G.P.J., Wang, X.Z., Kumar, K.S., Ren, H.
其他作者:	BIOMEDICAL ENGINEERING
格式:	Article
出版:	MDPI AG 2021
主題:	Electrical impedance tomography Gesture classification Kirigami wearable device Machine learning
在線閱讀:	https://scholarbank.nus.edu.sg/handle/10635/197561
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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