Hideaki Hayashi

most citedA Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis

33 citations · 55 across the 3 of their papers we have counts for

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eess.SP2019★ 21 cited

A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances

Akira Furui, Hideaki Hayashi, Toshio Tsuji

Objective: Surface electromyogram (EMG) signals have typically been assumed to follow a Gaussian distribution. However, the presence of non-Gaussian signals associated with muscle…

eess.SP2019★ 1 cited

A Neural Network Based on the Johnson $S_{U}$ Translation System and Related Application to Electromyogram Classification

Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji

Electromyogram (EMG) classification is a key technique in EMG-based control systems. The existing EMG classification methods do not consider the characteristics of EMG features tha…

A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances

A Neural Network Based on the Johnson SU​ Translation System and Related Application to Electromyogram Classification

A Neural Network Based on the Johnson $S_{U}$ Translation System and Related Application to Electromyogram Classification