Shuguang Meng

Kunming University of Science and Technology

Papers

Total Citations

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About

Shuguang Meng is a researcher focused on advancing human-machine interaction, particularly for assistive and rehabilitation robotics. Their key research areas include multimodal interface design, gesture recognition, and facial expression analysis, with a strong emphasis on improving accessibility for individuals with limited mobility. Meng’s major contribution lies in developing a novel hybrid target selection method that integrates hand gestures with facial expressions, enabling more intuitive and efficient control of rehabilitation robots. This work, published in 2022, has garnered 3 citations, reflecting its emerging impact in the field of assistive technology. By combining two natural input modalities, Meng addresses critical challenges in human-robot interaction for bedridden patients, offering a more seamless and less physically demanding control system. This innovative approach not only enhances user autonomy but also opens new avenues for personalized rehabilitation. Meng’s research stands out for its practical application in real-world clinical settings, bridging the gap between complex robotic systems and user-friendly interfaces. Their work is a valuable contribution to the growing body of literature on inclusive design and adaptive robotics, promising to improve quality of life for individuals with severe motor impairments.