Electromyography (EMG) has already been broadly used in human-machine interaction
(HMI) applications. Determining how to decode the information inside EMG signals robustly …

The human-machine interface (HMI) and bio-signals have been used to control
rehabilitation equipment and improve the lives of people with severe disabilities. This …

Designing efficient and labor-saving prosthetic hands requires powerful hand gesture
recognition algorithms that can achieve high accuracy with limited complexity and latency. In …

The study proposed the classification and recognition of hand gestures using
electromyography (EMG) signals for controlling the upper limb prosthesis. In this research …

In view of the fact that independent gesture recognition cannot fully meet the natural,
convenient and effective needs of actual human-computer interaction, this paper analyzes …

To assist patients with restricted mobility to control wheelchair freely, this paper presents an
eye-movement-controlled wheelchair prototype based on a flexible hydrogel biosensor and …

Human hand gestures are a widely accepted form of real-time input for devices providing a
human-machine interface. However, hand gestures have limitations in terms of effectively …

The human–robot collaboration (HRC) solutions presented so far have the disadvantage
that the interaction between humans and robots is based on the human's state or on specific …

Electromyography (EMG) signals are biomedical signals that measure electrical currents
generated during muscle contraction. These signals are strongly influenced by physiological …

Eye movements generate electric signals, which a user can employ to control his/her
environment and communicate with others. This paper presents a review of previous studies …