Listar Ingeniería por autor "Cene, Vinicius Horn"
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Open database for accurate upper-limb intent detection using electromyography and reliable extreme learning machines
Cene, Vinicius Horn; Tosin, Maurício Cagliari; Machado, Juliano Costa; Balbinot, Alexandre (2019) [Artículo de periódico]Surface Electromyography (sEMG) signal processing has a disruptive technology potential to enable a natural human interface with artificial limbs and assistive devices. However, this biosignal real-time control interface ... -
Optimization of features to classify upper-limb movements through sEMG signal processing
Cene, Vinicius Horn; Balbinot, Alexandre (2016) [Artículo de periódico]This paper presents the development of a computational intelligence method based on Regularized Logistic Regression to classify 17 distinct upper-limb movements through surface electromyography (sEMG) signal processing. ... -
Self-adaptive method for sEMG movement classification based on continuous optimal electrode assortment
Favieiro, Gabriela Winkler; Cene, Vinicius Horn; Balbinot, Alexandre (2016) [Artículo de periódico]Surface electromyography (sEMG) analysis is becoming increasingly popular in a broad variety of applications. Despite satisfactory classification rates are frequently obtained through supervised machine learning (ML) ...