Chuang-Yuan Chiu

Dr. Chuang-Yuan Chiu BMath. MMath. PhD.

Researcher


Summary

Dr Chuang - Yuan Chiu is a Researcher at the Centre for Sports Engineering Research (CSER) and works in the area of applied computing. Chuang-Yuan’s research interests include sports technology, anthropometry and computer vision.

About

Dr Chuang - Yuan Chiu is a researcher at the Centre for Sports Engineering Research (CSER) and works in the area of applied computing. Chuang-Yuan’s research interests include sports technology, anthropometry and computer vision. He completed his PhD at the University of Edinburgh in 2016. During his PhD, he developed a cost-efficient 3D human scanning system for anthropometric analysis. His development has been used in the sports talent development project at the sports high schools in Australia. He also collaborated with an international team at the Centre for Aquatics Research and Education (CARE) to install performance analysis systems and conduct leading biomechanics research for Scottish swimming team. He is familiar to apply the latest technology in sports research and development.

Areas of interest

  • 3D imaging and human measurement
  • 3D data-processing 
  • Computer vision

Research

Research centre:

Research theme groups:

Current research projects:

  • Understanding 3D Body Shape   
  • Markerless Motion Capture

Collaborators and sponsors:

  • English Institute of sport Innovation and Technology partnership

Publications

Journal articles

Oliveira, N., Keating, C.J., Chiu, C.-.Y., & Stavres, J. (2023). Increased hip flexion gait as an exercise modality for individuals with obesity. European Journal of Applied Physiology. http://doi.org/10.1007/s00421-023-05227-y

Chiu, C.-.Y., Dunn, M., Heller, B., Churchill, S., & Maden-Wilkinson, T. (2022). Modification and refinement of three-dimensional reconstruction to estimate body volume from a simulated single-camera image. Obesity Science and Practice. http://doi.org/10.1002/osp4.627

Chiu, C.-.Y., Ciems, R., Thelwell, M., Bullas, A., & Choppin, S. (2021). Estimating Somatotype from a Single-camera 3D Body Scanning System. European Journal of Sport Science. http://doi.org/10.1080/17461391.2021.1921041

Thelwell, M., Chiu, C.-.Y., Bullas, A., Hart, J., Wheat, J., & Choppin, S. (2020). How shape-based anthropometry can complement traditional anthropometric techniques: a cross-sectional study. Scientific Reports, 10 (1), 12125. http://doi.org/10.1038/s41598-020-69099-4

Chiu, C.-.Y., Thelwell, M., Senior, T., Choppin, S., Hart, J., & Wheat, J. (2019). Comparison of depth cameras for three-dimensional reconstruction in medicine. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 233 (9), 938-947. http://doi.org/10.1177/0954411919859922

Chiu, C.-.Y., Pease, D.L., Fawkner, S., & Sanders, R.H. (2018). Automated body volume acquisitions from 3D structured-light scanning. Computers in Biology and Medicine, 101, 112-119. http://doi.org/10.1016/j.compbiomed.2018.07.016

Chiu, C.-.Y., Pease, D.L., Fawkner, S., Dunn, M., & Sanders, R.H. (2018). Comparison of automated post-processing techniques for measurement of body surface area from 3D photonic scans. Computer methods in biomechanics and biomedical engineering, 7 (2), 227-234. http://doi.org/10.1080/21681163.2018.1492971

Chiu, C.-.Y., Pease, D., Fawkner, S., & Sanders, R. (2016). Validation of Body Volume Acquisition by Using Elliptical Zone Method. International Journal of Sports Medicine, 37 (14), 1117-1123. http://doi.org/10.1055/s-0042-112589

Chiu, C.-.Y., Pease, D.L., & Sanders, R.H. (2016). Effect of different standing poses on whole body volume acquisition by three-dimensional photonic scanning. IET Science, Measurement & Technology, 10 (6), 553-556. http://doi.org/10.1049/iet-smt.2015.0252

Chiu, C.-.Y., Pease, D.L., & Sanders, R.H. (2016). The effect of pose variability and repeated reliability of segmental centres of mass acquisition when using 3D photonic scanning. Ergonomics, 59 (12), 1673-1678. http://doi.org/10.1080/00140139.2016.1161245

Oliveira, N., Chiu, C.-.Y., & Sanders, R. (2015). Kinematic Patterns Associated with the Vertical Force Produced during the Eggbeater Kick. Journal of Sports Sciences, 33 (16), 1675-1681. http://doi.org/10.1080/02640414.2014.1003590

Sanders, R.H., Chiu, C.-.Y., Gonjo, T., Thow, J., Oliveira, N., Psycharakis, S.G., ... McCabe, C.B. (2015). Reliability of the Elliptical Zone Method of Estimating Body Segment Parameters of Swimmers. Journal of Sports Science and Medicine, 14 (1), 215-224. http://www.jssm.org/abstresearchajssm-14-215.xml.xml

Chiu, C.-.Y., & Sanders, R.H. (2009). Quantifying obesity from anthropometric measures and body volume data. International journal of design, analysis and tools for circuits and systems, 1 (1), 1-4.

Conference papers

Chiu, C.Y., Thelwell, M., Goodwill, S., & Dunn, M. (2020). Accuracy of Anthropometric Measurements by a Video-Based 3D Modelling Technique. http://doi.org/10.1007/978-3-030-43195-2_29

Media

Dr Chuang-Yuan Chiu is a Researcher in the Centre for Sports Engineering research (CSER). He completed his PhD at the University of Edinburgh in 2016. Chuang-Yuan’s main research area is in sports technology, anthropometry and computer vision. During his PhD, he developed a cost-efficient 3D human scanning system for anthropometric analysis. He also collaborated with an international team at the Centre for Aquatics Research and Education (CARE) to conduct leading biomechanics research for Scottish swimming team.

The Centre for Sports Engineering Research (CSER) is led by Dr David James. It is the world's largest academic group in sports engineering and an internationally renowned centre of excellence for research and knowledge transfer. The centre's work is based on four research disciplines; applied computing, biomechanics, design engineering, and skill acquisition. In each area, researchers develop fundamental knowledge and deliver applied solutions to enhance athletic performance, reduce injury and promote physical activity.

CSER works in partnership with many sport, health and commercial organisations. We are immensely proud of our work with Team GB Olympic, and Paralympic athletes, and we enjoy research partnerships with global organisations such as the International Tennis Federation, FIFA, and Adidas.

Areas of expertise:

  • Sport and engineering
  • 3D imaging and human measurement
  • 3D data-processing
  • Computer vision

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