Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

Hand gesture recognition systems are gaining popularity these days due to the ease with
which humans and machines can communicate. The goal of hand gesture development is to …

This article explores the feasibility of combining surface electromyography (sEMG) and
multifrequency electrical impedance myography (mfEIM) for predicting joint angles and …

The aim of this study was to estimate the elbow joint angle based on EMG and EEG signals
using signal processing and machine learning techniques. 21 subjects (ten females, eleven …

In this paper, a novel multi-layer reservoir neural network with axonal delays is proposed
using an asynchronous cellular automaton neuron model. A learning method of the network …

This paper focuses on continuous future prediction of human elbow joint kinematics using
surface electromyography (sEMG) using a neural network training strategy that leverages …

La perte d'autonomie causée par une amputation du membre supérieur peut être restaurée
partiellement ou presqu'entièrement par l'utilisation d'une prothèse myoélectrique adaptée à …

Las discapacidades en el miembro superior afectan cada año a una parte considerable de
la población, de esto surge la necesidad de asistir a quienes perdieron total o parcialmente …

In this paper, a multi-layer reservoir neural network is designed using an asynchronous
cellular automaton neuron model. Furthermore, a learning method of the network based on …

法政大学大学院理工学研究科電気電子工学専攻修士課程 A novel hardware-efficient
polychronous reservoir network whose dynamics is designed based on asynchronous …