Background To assist people with disabilities, exoskeletons must be provided with human-
robot interfaces and smart algorithms capable to identify the user's movement intentions …

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 …

Evolutionary Neural Networks are proven to be beneficial in solving challenging datasets
mainly due to the high local optima avoidance. Stochastic operators in such techniques …

Particle swarm optimization (PSO) is a powerful globally accepted evolutionary swarm
intelligence method for solving both linear and non-linear problems. In this paper, a PSO …

This paper presents a comprehensive study on the analysis of neuromuscular signal
activities to recognize 11 facial expressions for muscle computer interfacing applications. A …

Although PSO has been successfully used in much application, the issues of trap** in
local optimum and premature convergence can be avoided by using improved version of …

Electromyogram (EMG)-based facial gesture recognition has recently drawn the
researchers' attention as a potential medium in different areas, particularly in assistive …

Facial neuromuscular signal has recently drawn the researchers' attention to its outstanding
potential as an efficient medium for Muscle Computer Interface (MuCI) applications. The …

This work presents a novel classifier called cascaded principle vector machine (CPVM) to
fulfill the goal of high-accuracy facial expression recognition. First, the facial electromyogram …

The outward-bound training has been a popular manner to exercise in daily life. However,
there lacks an intelligent assistant system to monitor the real-time status of users to avoid …