Human computer interaction plays an increasingly important role in our life. People need
more intelligent, concise and efficient human-computer interaction. It is of great significance …

Continuous online prediction of human joints angles is a key point to improve the
performance of man-machine cooperative control. In this study, a framework of online …

Surface electromyography (EMG) is valuable information instrumentation for understanding
the electrical activity of muscles. The function and role of the maxillofacial components are …

To estimate the continuous human motion from surface electromyography (sEMG), it is
required to extract hidden information from sEMG and generalize an estimation model. In …

The study considers the need for an effective method of classification of patients with a
temporomandibular joint disorder (TMD). The self-organising map method (SOM) was …

In this paper, the effects of various cooling methods for electronic chipsets integrated with a
deep learning algorithm are studied. For this purpose, the separated and simultaneous …

The purpose of this study was to develop a bio-inspired masticatory robot that generates real-
time trajectories, using surface electromyography signals (sEMG). We employed the central …

This paper proposes a real-time trajectory generation for a masticatory rehabilitation robot
based on surface electromyography (SEMG) signals. We used two Gough-Stewart robots …

Human mastication is a complex and rhythmic biomechanical process which is regulated by
a brain stem central pattern generator (CPG). Masticatory patterns, frequency and amplitude …

Electromyogram signals contain information for predicting muscle force that can be used in
human-machine interaction and medical applications such as the control of prosthetic …