Jingcheng Shen
Papers
2
Total Citations
77
H-Index
2
About
Jingcheng Shen is a pioneering researcher at the intersection of wearable technology and human-robot interaction, with a focus on intelligent sensing and affective computing. His most cited work introduces a groundbreaking wearable multimode sensor with a seamless integrated structure, capable of decoupling pressure and strain stimuli to precisely recognize different joint motion states. By combining this hardware innovation with deep learning algorithms, Shen has enabled accurate motion feature extraction—a critical advancement for rehabilitation, sports science, and human-machine interfaces. This paper has garnered 56 citations, reflecting its impact on smart sensing and biomechanics. In parallel, Shen explores the frontiers of social robotics, as demonstrated by his 21-cited study on human-robot mental comforting dialogue. Here, he developed a framework for an android robot (ERICA) to share emotional experiences, enhancing empathetic understanding in mental health support. This work bridges engineering and psychology, addressing the growing need for AI-driven companionship. Shen’s contributions are notable for their interdisciplinary ambition, merging sensor design, deep learning, and human-centered robotics to create technologies that are both physically and emotionally intelligent. His research holds promise for next-generation assistive devices and empathetic AI systems.
Research Focus
Key Achievements
Top Papers
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