Chong-Hao Xu
Papers
1
Total Citations
6
H-Index
1
About
Chong-Hao Xu is a researcher at the forefront of computer vision and human-computer interaction, with a focused expertise in hand gesture recognition systems. His most-cited work, the 2021 overview "Efficient Hand Gesture Recognition System based on Computer Vision," has garnered 6 citations and serves as a foundational reference for researchers exploring non-verbal communication interfaces. In this comprehensive review, Xu systematically analyzes the diverse software and hardware techniques employed to enhance gesture recognition accuracy, addressing critical applications in human-machine interfaces (HCI), home automation, and robot control. By synthesizing advances in computer vision-based approaches, his work provides a crucial roadmap for developing more intuitive and responsive interaction systems. Xu's contributions are particularly significant given the growing demand for touchless control technologies in smart environments and assistive robotics. His research bridges the gap between theoretical computer vision algorithms and practical real-world implementations, offering valuable insights for both academic researchers and industry practitioners working on next-generation interface technologies. Through his systematic analysis of gesture recognition methodologies, Xu has helped establish a clearer framework for advancing this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
- 1