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Evaluation of multi-class support-vector machines strategies and kernel adjustment levels in hand posture recognition by analyzing sEMG signals acquired from a wearable device.

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第一作者： Thays,Falcari

第一单位： 1Instituto Tecnológico de Aeronáutica (ITA), Praça Marechal Eduardo Gomes, 50 - Vila das Acacias, São José dos Campos, SP 12228-900 Brazil.

作者： Thays,Falcari ^[1] ; Osamu,Saotome ^[1] ; Ricardo,Pires ^[2] ; Alexandre Brincalepe,Campo ^[2]

作者单位： 1Instituto Tecnológico de Aeronáutica (ITA), Praça Marechal Eduardo Gomes, 50 - Vila das Acacias, São José dos Campos, SP 12228-900 Brazil. ^[1] 2Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), R. Pedro Vicente, 625 - Canindé, São Paulo, SP 01109-010 Brazil. ^[2]

关键词 Decomposition methods Multi-class SVM One-vs-All One-vs-One Posture recognition

DOI 10.1007/s13534-019-00141-9

PMID 32431955

发布时间 2020-11-27

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Biomedical engineering letters

2020年10卷2期

275-284页

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Biomedical engineering letters

2020年10卷2期

275-284页

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Evaluation of multi-class support-vector machines strategies and kernel adjustment levels in hand posture recognition by analyzing sEMG signals acquired from a wearable device.

Biomedical engineering letters

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Evaluation of multi-class support-vector machines strategies and kernel adjustment levels in hand posture recognition by analyzing sEMG signals acquired from a wearable device.

Biomedical engineering letters

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Biomedical engineering letters

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