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-论文-万方医学网

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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： Falcari, Thays

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

作者单位： ITA ^[1] Inst Fed Educ Ciencia & Tecnol Sao Paulo IFSP ^[2]

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

发布时间 2022-05-25

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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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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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