Gesture recognition by surface electromyography (sEMG) signals is used for several
applications as prosthesis control and human-machines interfaces. One of trending …

Because the noise in lower limb surface electromyography (sEMG) is so high, extracting
characteristics and recognizing lower limb motion is difficult. This research offers an …

Muscle computer Interface (muCI), one of the widespread human-computer interfaces, has
been widely adopted for the identification of hand gestures by using the electrical activity of …

In this paper, a new CNN architecture is introduced for classification of six different hand
gestures using surface electromyography (EMG) data collected from the forearm. At first, two …

Linear discriminant analysis (LDA) is a notable classification algorithm thanks to its major
success in many applications of the real-world. In spite of its successfulness for low …

Surface Electromyography (sEMG) might provide new ways of communication or control with
devices or surroundings through the use of a Human-Machine Interface (HMI). Recent …

The evolution of a modern human–machine interface (HMI) has consistently been a
fascinating exploration subject in the domain of rehabilitation, in which electromyogram …

Electromyography (EMG) measures muscle response when nerves are stimulated. The
objective of this research paper is to present a work on control of a robotic hand using …

Özellikle yaşadığımız coğrafyaların bir kaderi olan savaş ve çeşitli yaralanmalar sonucu
ampute bir hayat sürmek zorunda kalan engelli bireylerin yaşam koşullarını iyileştirmek …

ABSTRACT Human-Machine-Interfaces (HMIs) can use surface electromyography (sEMG)
signals to control equipment that assists disabled people in their activities of daily living …