Workshop on Intelligent Sports Technologies (WIST)

The Workshop on Intelligent Sports Technologies (WIST) aims to provide a multifaceted platform for researchers, practitioners, technologists, practitioners, coaches, and athletes to explore and discuss the convergence of multimedia, artificial intelligence, and sports science. The workshop seeks to address the innovative intersection of these fields, focusing on the latest advancements, trends, and applications of multimedia technologies in the sports domain.


The Workshop on Intelligent Sports Technologies (WIST) holds a strong relevance to ACM Multimedia Asia 2023 due to its core emphasis on the intersection of multimedia technologies, artificial intelligence, and sports science. The multimedia aspect is critical in this workshop, as advancements in areas such as computer vision, augmented and virtual reality, digital gaming, data visualization, and content creation are central to our topics of interest. These areas are rapidly evolving and shaping the way we understand, participate in, and consume sports. Moreover, the integration of AI and ML with these multimedia technologies in the sports domain, for functions like performance analysis, training improvement, injury prevention, and enhancing spectator experiences, aligns seamlessly with the ACM Multimedia Asia's goal of promoting innovative research and applications in the multimedia field. Therefore, WIST stands as a significant addition to ACM Multimedia Asia 2023, providing a unique platform to discuss the convergence of these impactful areas.

Moreover, the topic of the Workshop on Intelligent Sports Technologies (WIST) bears substantial importance due to the transformative potential it holds for the realm of sports. As technological advancements continue to proliferate rapidly, their integration into sports has begun to redefine how athletes train, perform, and recover, and how spectators engage and interact with sports events. Intelligent sports technologies, particularly those harnessing the power of AI and machine learning, offer unprecedented opportunities for developing personalized training programs and strategies, thereby enhancing athletic performance and reducing injury risk. Furthermore, multimedia technologies, including augmented and virtual reality, are significantly elevating the spectator experience, fostering increased engagement and bringing fans closer to the action than ever before. The ability to make data-driven decisions, by analyzing the plethora of data collected via various sensors and devices, is revolutionizing areas like talent scouting, team strategy, injury prevention, and player health management. The rise of eSports and digital gaming underscores the pertinence of multimedia and intelligent technologies in the contemporary sports landscape. Finally, the interdisciplinary nature of this field promotes collaboration across diverse domains such as sports science, computer science, data analytics, multimedia, and artificial intelligence, thereby driving innovative solutions and advancements. All these aspects attest to the crucial role and profound impact of intelligent sports technologies in shaping the future of sports.


We are excited to announce the Workshop on Intelligent Sports Technologies (WIST), a part of the ACM Multimedia Asia 2023 conference. This unique workshop offers a platform for academia, industry professionals, technologists, and athletes to explore, discuss, and contribute to the cutting-edge intersection of multimedia, artificial intelligence, and sports science.

WIST encourages submissions that leverage the convergence of these domains to enhance sports performance, training, rehabilitation, and audience experiences. We are particularly interested in submissions that are forward-thinking, innovative, and which have the potential to influence the future trajectory of intelligent sports technologies.

Topics of interest for the workshop include but are not limited to:

1) Multimedia Sensing and Capture for Sports: Exploration of novel multimedia sensing techniques, including wearable technology, computer vision, augmented reality (AR), virtual reality (VR), and mixed reality (MR) in the context of sports

2) Multimedia Analytics in Sports: Use of AI/ML techniques in the analysis of multimedia sports data, including video analysis, image processing, audio processing, motion capture, and event detection.

3) AI-Driven Decision Support Systems in Sports: Research on advanced AI systems, including machine learning, deep learning, and generative AI, for decision-making in sports.

4) Human-Computer Interaction (HCI) in Sports: Study of cutting-edge HCI techniques for improving sports training and performance, including biofeedback systems, gesture recognition, and VR/AR interfaces.

5) Sports Content Creation and Visualization: Exploration of creative ways to generate and visualize sports content using AI and multimedia technologies, including automatic sports highlights generation, AR/VR-based immersive sports viewing experiences, and data visualization in sports.

6) Impact of ICT on Sports: Discussion on how emerging ICT technologies like 5G/6G, Internet of Things (IoT), blockchain, and cloud computing are revolutionizing sports science and engineering.

7) eSports and Digital Gaming: Study of advancements in eSports and digital gaming, focusing on game design, player interaction, social implications, and its influence on traditional sports.

8) Privacy and Security in Intelligent Sports Technologies: Discussions about the challenges and solutions regarding privacy, security, and ethics in the collection, storage, and processing of data in sports.

9) Multimedia Technologies for Injury Prevention and Rehabilitation: Exploration of how multimedia technologies can be used for injury prevention, diagnosis, rehabilitation, and improving athletes' health and well-being. The workshop also welcomes topics related to sports science not explicitly mentioned above. It aims to delve into emerging trends, the role of technology in revolutionizing sports, and the future direction of intelligent sports technologies.

Submission Guidelines

Submission Site:

Paper format: Submitted papers (.pdf format) must use the ACM Article Template. Please remember to add Concepts and Keywords. Please use the template in traditional double-column format to prepare your submissions. Word users please use "interm-layout.docx", and Latex users please use "sample-sigconf.tex" to format your submissions.

Length: Papers must be no longer than 4 pages, including all text and figures. There is no limit to the pages of references.

Blinding: Paper submissions must conform with the “double-blind” review policy. This means that the authors should not know the names of the reviewers of their papers, and reviewers should not know the names of the authors. Please prepare your paper in a way that preserves anonymity of the authors.

Accepted Paper Presentation and Publication: The accepted workshop paper will be allocated to present physically (unless explicitly requested due to visa or other unavoidable reasons) during the half-day workshop. All the accepted workshop paper will be published in the workshop proceedings.

Important Dates

Workshop Organizers

Prof. Yu-Shuen Wang

Prof. Yu-Shuen Wang ( is an associate professor of the Department of Computer Science at National Chiao-Tung University. He received his PhD degree from Visual System Laboratory, National Cheng Kung University, Tainan, Taiwan, ROC, in 2010. Currently, he leads the Computer Graphics and Visualization Lab at the Institute of Multimedia Engineering. Prof. Wang's research interests include Computer Graphics, Image Manipulation, Map Design, Data Visualization, Human Computer Interface and Virtual Reality. He received the Wu Da-Yu Memorial Award and NCTU EECS Outstanding Young Scholar Award in 2016.

For more details about Prof. Yu-Shuen Wang, please refer to

Prof. Wen-Chih Peng

Prof. Wen-Chih Peng ( received the B.S. and M.S. degrees from National Yang Ming Chiao Tung University, Taiwan, in 1995 and 1997, respectively, and the Ph.D. degree in electrical engineering from National Taiwan University, Taiwan, in 2001. He was mainly involved in projects related to mobile computing, data broadcasting, and network data management. Currently, he is a Professor with the Department of Computer Science, National Yang Ming Chiao Tung University. He has served as a PC member in several prestigious conferences, such as the IEEE International Conference on Data Engineering (ICDE), ACM International Conference on Knowledge Discovery and Data Mining (ACM KDD), IEEE International Conference on Data Mining (ICDM), and ACM International Conference on Information and Knowledge Management (ACM CIKM). His research interests include mobile data management and data mining.

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Dr. Jui-Hsien Wang

Dr. Jui-Hsien Wang is a research engineer at Adobe Research. His research interest is in computer graphics and computer vision. In graphics, he is interested in physics-based modeling/simulation with applications in deformations, animation, interactive motion control, and sound. In vision, he is interested in object-centric multimodal models with applications in machine perception and robotics. He is also investing some of his time in projects revolving video understanding, processing, and synthesis.

For more details about Dr. Jui-Hsien Wang, please refer to