Yihong Wu

schoolZhejiang Universitybar_chart#2589 Global Rank

Total Papers

HCI Rank

#2589

Research Areas

Years Active

Recent Publications

From Sports Videos to Immersive Training: Augmenting Human Motion to Enrich Basketball Training Experience

Video plays a crucial role in sports training, enabling participants to analyze their movements and identify opponents' weaknesses. Despite the easy access to sports videos, the rich motion data within them remains underutilized due to the lack of clear performance indicators and discrepancies from real-game conditio…

UIST '255th+ AuthorFull-Body Interaction & Embodied Input +1

VisMimic: Integrating Motion Chain in Feedback Video Generation for Motor Coaching

Augmented video is a common medium for remote sports coaching, facilitating communication between trainees and coaches. Existing video augmentation techniques struggle to simultaneously convey both the overall motion dynamics and static key poses. This limitation hinders feedback comprehension in motor learning, makin…

UIST '244th AuthorFull-Body Interaction & Embodied Input +2

VisCourt: In-Situ Guidance for Interactive Tactic Training in Mixed Reality

In team sports like basketball, understanding and executing tactics---coordinated plans of movements among players---are crucial yet complex, requiring extensive practice. These tactics require players to develop a keen sense of spatial and situational awareness. Traditional coaching methods, which mainly rely on bask…

UIST '231st AuthorFitness Tracking & Physical Activity Monitoring +1

AR-Enhanced Workouts: Exploring Visual Cues for At-Home Workout Videos in AR Environment

In recent years, with growing health consciousness, at-home workout has become increasingly popular for its convenience and safety. Most people choose to follow video guidance during exercising. However, our preliminary study revealed that fitness-minded people face challenges when watching exercise videos on handheld…

CHI '214th AuthorHuman Pose & Activity Recognition +1

EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos

The popularity of racket sports (e.g., tennis and table tennis) leads to high demands for data analysis, such as notational analysis, on player performance. While sports videos offer many benefits for such analysis, retrieving accurate information from sports videos could be challenging. In this paper, we propose Even…

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