Kezhong Lu

Papers

Total Citations

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About

Kezhong Lu is a leading researcher in assistive robotics and human–machine interaction, with a focus on developing intelligent systems that enhance mobility and quality of life for individuals with disabilities. His most cited work, "SmartRolling: A human–machine interface for wheelchair control using EEG and smart sensing techniques" (2023, 36 citations), exemplifies his innovative approach to integrating brain-computer interfaces (BCI) with smart sensing technologies. This paper introduces a novel wheelchair control system that combines electroencephalography (EEG) signals with environmental sensors, enabling users to navigate more intuitively and safely. Lu's contributions lie in bridging the gap between neural signal processing and practical assistive devices, addressing critical challenges in real-time control and user adaptability. His research has been recognized for its potential to revolutionize mobility aids, with the SmartRolling system garnering attention for its user-centric design and robust performance. Beyond this flagship work, Lu continues to explore advanced sensor fusion and machine learning techniques, aiming to make assistive technologies more accessible and responsive. His work not only advances the field of rehabilitation engineering but also inspires new directions in human-robot collaboration.