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 to …

For the problem of surface electromyography (sEMG) gesture recognition, considering the
fact that the traditional machine learning model is susceptible to the sEMG feature extraction …

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) …

In the current development and design of sports rehabilitation equipment or biomimetic
prostheses, in addition to pay attention to the development and design of the structure, the more …

In order to improve the recognition rate of hand gestures a new interactive image segmentation
method for hand gesture recognition is presented, and popular methods, eg, Graph cut, …

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 …

With the rapid development of Internet of things technology, the interaction between people
and things has become increasingly frequent. Using simple gestures instead of complex …

With the rapid development of sensor technology and artificial intelligence, the video
gesture recognition technology under the background of big data makes human‐computer …

With the development of artificial intelligence, robots are widely used in various fields, grasping
detection has been the focus of intelligent robot research. A dual manipulator grasping …

With the rapid development of sensor technology and artificial intelligence, the video
gesture recognition technology under the background of big data makes human–computer …