Kalin Guanlun Lai

ORCID: 0009-0009-4622-3502
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About
Contact & Profiles
Research Areas
  • Sports Performance and Training
  • Sports Analytics and Performance
  • Sports Dynamics and Biomechanics
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications

National Kaohsiung University of Science and Technology
2023-2024

University of Science and Technology
2023

Tennis is a popular sport, and integrating modern technological advancements can greatly enhance player training. Human pose estimation has seen substantial developments recently, driven by progress in deep learning. The dataset described this paper was compiled from videos of researchers' friend playing tennis. These were retrieved frame to categorize various tennis movements, human skeleton joints annotated using COCO-Annotator generate labelled JSON files. By combining these files with...

10.1016/j.dib.2024.110665 article EN cc-by Data in Brief 2024-06-22

Tennis is a popular sport, and the introduction of technology has allowed players to diversify their training. ball tracking currently focal point, serving not only assist referees but also enhance sports analysis. We introduce Shot Side-View Top-View Dataset, which serves as an invaluable resource for analysing tennis movements verifying landing positions after flight. This dataset combines side-view top-view video clips, capturing various shot types player from both outdoor indoor fields....

10.1016/j.dib.2024.110438 article EN cc-by Data in Brief 2024-04-18

Tennis virtual-reality integration represents an emerging and promising approach that combines augmented reality (AR) mixed (MR) technologies to assess the flight landing point of forecasted tennis balls across different playing fields. In this study, we utilized Multi-Camera Perspectives analyze forecast trajectory from both a real-world Outdoor Field simulated Virtual Field. Our comprehensive analysis results unveiled substantial distinctions in X-axis error between outdoor field virtual...

10.2139/ssrn.4608926 preprint EN 2023-01-01
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