This article presents an electromyography (EMG) controlled hand exoskeleton for basic
movements in assisted bilateral therapy, where bimanual work is required by the user. The …

Gesture recognition basically involves the usage of hardware equipments and software
development tools where human movements are captured and Human Computer Interaction …

Gesture recognition on wearable devices is extensively applied in human-computer
interaction. Electromyography (EMG) has been used in many gesture recognition systems …

Pattern recognition using myoelectric control of upper-limb prosthetic devices is essential to
restore control of several degrees of freedom. Although much development has been …

The electric activity produced by the forearm level muscles contains valuable information
regarding the performed gesture. The analysis of electromyographic (EMG) signals is …

This paper presents the design, evaluation, and field experiment of the innovative Adaptable
Human-Swarm Teaming (α-SWAT) interface developed to support military field operations …

This paper presents a comparative analysis among different methods of classifiers such as:
Feedforward Neural Networks (FFN), Support Vector Machines (SVM), Naïve Bayes …

Özet Günümüzde birçok araç otonom olarak kontrol edilmek istenmektedir. Bu çalışmaların
en önemli uygulama alanlarının başında askeri ve sağlık alanları olması münasebeti öncelik …

The actions of humans executed by their hands play a remarkable part in controlling and
handling variety of objects in their daily life activities. The effect of losing or degradation in …

Abstract (DE) Die Handzeichenerkennung ist für verschiedene Anwendungen wichtig.
Myographische Methoden, wie die Oberflächen-Elektromyographie (sEMG), die Kraft …