Jinwen Wei

Guangxi University, Xi'an Jiaotong University

Papers

Total Citations

H-Index

About

Jinwen Wei’s research centers on human-computer interaction (HCI), artificial neural networks, and gesture recognition, with a focus on enhancing the efficiency and intuitiveness of robotic control systems. In their most cited work, “The hand shape recognition of Human Computer Interaction with Artificial Neural Network” (2009, 4 citations), Wei introduced novel, compact hand shapes and a corresponding recognition system designed to overcome the limitations of traditional HCI, which often relies on large, complex arm and hand gestures. By leveraging artificial neural networks, Wei’s system enabled more usable and efficient HCI instructions for robot control, offering a streamlined approach to gesture-based interaction. This contribution underscores Wei’s commitment to advancing accessible, intelligent interfaces that bridge human intent and machine response. While their citation count reflects a focused niche, the work’s practical implications for robotics and assistive technologies highlight its potential to inspire future innovations in intuitive HCI design.