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Comparing the efficiency of artificial neural networks in sEMG-based simultaneous and continuous estimation of hand kinematics

Surface Electromyography (sEMG) plays a key role in many applications such as control of Human-Machine Interfaces (HMI) and neuromusculoskeletal modeling. It has strongly nonlinear relations to joint kinematics and reflects the subjects’ intention in moving their limbs. Such relations have been trad...

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Main Authors: Wafa Batayneh, Enas Abdulhay, Mohammad Alothman
Formato: Artigo
Idioma:Inglês
Publicado em: KeAi Communications Co., Ltd. 2022-04-01
Colecção:Digital Communications and Networks
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Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2352864821000547
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