HCI

FetchAid: Making Parcel Lockers More Accessible to Blind and Low Vision People With Deep-learning Enhanced Touchscreen Guidance, Error-Recovery Mechanism, and AR-based Search Support
Klara Zhitong Guan, Zeyu Xiong, Mingming Fan
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FetchAid: Making Parcel Lockers More Accessible to Blind and Low Vision People With Deep-learning Enhanced Touchscreen Guidance, Error-Recovery Mechanism, and AR-based Search Support
It is hard to remove from my eye: Design Makeup Residue Visualization System for Chinese Traditional Opera (Xiqu) Performers
Zeyu Xiong, Shihan Fu, Yanying Zhu, Chenqing Zhu, Xiaojuan Ma, Mingming Fan
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It is hard to remove from my eye: Design Makeup Residue Visualization System for Chinese Traditional Opera (Xiqu) Performers
OperARtistry: An AR-based Interactive Application to Assist the Learning of Chinese Traditional Opera (Xiqu) Makeup
Zeyu Xiong, Shihan Fu, Mingming Fan
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OperARtistry: An AR-based Interactive Application to Assist the Learning of Chinese Traditional Opera (Xiqu) Makeup
A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music
Zeyu Xiong, Weitao Wang, Jing Yu, Yue Lin, Ziyan Wang
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A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music
FetchAid
A real-time intelligent package fetching assistance tool (iOS App) for people with visual impairments, supervised by Prof. Mingming Fan.
FetchAid
OperARtistry
Web AR application for Chinese Traditional Opera (Xiqu) Makeup Tutorial, supervised by Prof. Mingming Fan.
OperARtistry
CoPracTter: Toward Integrating Personalized Practice Scenarios, Timely Feedback and Social Support into An Online Support Tool for Coping with Stuttering in China
Li Feng, Zeyu Xiong, Xinyi Li, Mingming Fan
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CoPracTter: Toward Integrating Personalized Practice Scenarios, Timely Feedback and Social Support into An Online Support Tool for Coping with Stuttering in China
CoPracTter
Speaking practice community (Web App) for people who stutter, supervised by Prof. Mingming Fan.
CoPracTter
Metaverse + Industry 4.0
2023 Hong Kong Digital Assets Society (HKDAS) Hackathon project, a metaverse solution for worker training, winning the champion and the most innovative award, supervised by Prof. Man Chan and Prof. Jenny Zhou.
Metaverse + Industry 4.0
Retaining Semantics in Image to Music Conversion
Zeyu Xiong, Pei-Chun Lin, Amin Farjudian
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Retaining Semantics in Image to Music Conversion