37 citations · 115 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
A Neural Network Based on the Johnson 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 Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
Hideaki Hayashi, Taro Shibanoki, Keisuke Shima +2
This paper proposes a probabilistic neural network developed on the basis of time-series discriminant component analysis (TSDCA) that can be used to classify high-dimensional time-…