Zhenxing Zhou
Papers
1
Total Citations
7
H-Index
1
About
Zhenxing Zhou is a researcher at the forefront of biomechanics and human-machine interaction, with a focus on gait analysis and rehabilitation technologies. His work centers on developing innovative sensing systems to decode human movement, particularly for applications in clinical rehabilitation and exoskeleton control. Zhou’s most cited paper, "Recognization of Stance Phase Using Flexible Pressure Sensors" (2016, 7 citations), introduces a novel approach to identifying the stance phase of gait—a critical period in walking that reflects lower limb health. By leveraging flexible pressure sensors, his study enables precise, real-time detection of gait abnormalities, offering a low-cost, non-invasive tool for diagnosing conditions like joint disorders or neuromuscular diseases. This contribution bridges the gap between wearable sensor technology and practical rehabilitation, enhancing the control of assistive devices such as exoskeleton robots. Though early in his career, Zhou’s work demonstrates a clear impact, laying groundwork for smarter, more responsive human-machine systems that improve mobility and quality of life for patients with lower limb impairments.
Research Focus
Key Achievements
Top Papers
- 1Recognization of Stance Phase Using Flexible Pressure Sensors7 citations · 2016