Urban intelligence is an emerging concept which guides a series of infrastructure
developments in modern smart cities. Human-computer interaction (HCI) is the interface …

In order to realize the force control, when the prosthetic hand grasps the object, the forearm
electromyography signal is collected by the multi-channel surface electromyography (sEMG) …

Hand gesture recognition is an important way for human machine interaction, and it is widely
used in many areas, such as health care, smart home, virtual reality as well as other areas …

In order to resolve the problem of unstable control of force in human–computer interaction
based on surface EMG signals, the adaptive neural fuzzy inference system is designed to …

Gesture recognition based on computer vision has gradually become a hot research
direction in the field of human-computer interaction. The field of human-computer interaction …

Pattern recognition (PR) methods are commonly utilized in the extraction of motion
intentions from myoelectric signals, which is realized by relating several electromyogram …

Based on HSV gamut space, a visualization system of muscle activity is proposed to study
the map** relationship between hand motion and active areas of upper arm muscle …

It is evident that non-invasive muscle-based human-machine interface (HMI) has been the
research focus of human-machine interaction. To improve the performance of muscle-based …

The transfer of information between a human and a robot is of vital importance for robotic
telemanipulation systems. In this paper, we propose a novel strategy-assisted shared control …

With the number of people surviving a stroke soaring, automated upper limb impairment
assessment has been extensively investigated in the past decades since it lays the …