Q
Qiongfeng Shi
Researcher at National University of Singapore
Publications - 99
Citations - 6260
Qiongfeng Shi is an academic researcher from National University of Singapore. The author has contributed to research in topics: Triboelectric effect & Computer science. The author has an hindex of 35, co-authored 79 publications receiving 3090 citations.
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Journal ArticleDOI
Haptic-feedback smart glove as a creative human-machine interface (HMI) for virtual/augmented reality applications
Minglu Zhu,Zhongda Sun,Zixuan Zhang,Qiongfeng Shi,Tianyiyi He,Huicong Liu,Tao Chen,Chengkuo Lee +7 more
TL;DR: Through the integrated demonstration of multidimensional manipulation, haptic feedback, and AI-based object recognition, the haptic-feedback glove reveals its potential as a promising solution for low-cost and advanced human-machine interaction, which can benefit diversified areas, including entertainment, home healthcare, sports training, and medical industry.
Journal ArticleDOI
Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things
Abstract: Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117576, Singapore Center for Intelligent Sensors and MEMS, National University of Singapore, Singapore, 117608, Singapore Hybrid-Integrated Flexible (Stretchable) Electronic Systems Program, National University of Singapore, Singapore, 117608, Singapore NUS Suzhou Research Institute (NUSRI), Suzhou, 215123, China NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, 117456, Singapore
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Self-Powered and Self-Functional Cotton Sock Using Piezoelectric and Triboelectric Hybrid Mechanism for Healthcare and Sports Monitoring
TL;DR: A self-powered and self-functional sock (S2-sock) to realize diversified functions including energy harvesting and sensing various physiological signals, i.e., gait, contact force, sweat level, etc., by hybrid integrating poly(3,4-ethylenedioxythiophene) polystyrenesulfonate (PEDOT:PSS)-coated fabric triboelectric nanogenerator (TENG) and lead zirconate titanate
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Machine Learning Glove Using Self-Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications.
Feng Wen,Zhongda Sun,Tianyiyi He,Qiongfeng Shi,Minglu Zhu,Zixuan Zhang,Lianhui Li,Ting Zhang,Chengkuo Lee +8 more
TL;DR: A facile carbon nanotubes/thermoplastic elastomer (CNTs/TPE) coating approach is investigated in detail to achieve superhydrophobicity of the triboelectric textile for performance improvement and realizes a low‐cost and self‐powered interface for gesture recognition.
Journal ArticleDOI
More than energy harvesting – Combining triboelectric nanogenerator and flexible electronics technology for enabling novel micro-/nano-systems
TL;DR: In this article, a review of progress development of triboelectric nanogenerators and flexible electronics technology is firstly reviewed, and then various micro-/nano-systems enabled by the integration of TEN and FEN are presented to show the feasibility to achieve sustainable functional systems.