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Fusion inception and transformer network for continuous estimation of finger kinematics from surface electromyography

Decoding surface electromyography (sEMG) to recognize human movement intentions enables us to achieve stable, natural and consistent control in the field of human computer interaction (HCI). In this paper, we present a novel deep learning (DL) model, named fusion inception and transformer network (F...

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Principais autores: Chuang Lin, Xiaobing Zhang
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2024-05-01
Serier:Frontiers in Neurorobotics
Fag:
surface electromyography
human-computer interaction
continuous estimation
finger kinematics
deep learning
Online adgang:https://www.frontiersin.org/articles/10.3389/fnbot.2024.1305605/full
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