Zhuokang Wang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Zhuokang Wang is a researcher focused on biomechanics and rehabilitation robotics, with a particular emphasis on human gait analysis and its applications in assistive technologies. His most cited work, "Research on Human Gait Characteristics at Different Walking Speeds Based on Alphapose" (2023), addresses a critical challenge in the development of lower limb exoskeleton rehabilitation robots: the need for accessible, scalable methods to study gait patterns. By leveraging the Alphapose pose estimation framework, Dr. Wang proposes a cost-effective alternative to traditional, often prohibitively expensive gait analysis devices, enabling researchers to capture and analyze human gait characteristics across varying walking speeds. This contribution is foundational for designing exoskeletons that can adapt to natural human movement, enhancing rehabilitation outcomes. With 3 citations, his work is gaining traction among engineers and clinicians seeking practical solutions for robotic-assisted therapy. Dr. Wang’s research bridges computer vision and biomechanics, offering a pathway to democratize gait analysis and accelerate the development of intelligent, user-responsive rehabilitation systems.
Research Focus
Key Achievements
Top Papers
- 1