Intellgent Human-Computer Interaction
Research Field
Dr. Zong-Xian Yin is a Professor in the Department of Computer Science at Southern Taiwan University of Science and Technology (STUST) and the Director of the Sports Technology Center. He earned his Ph.D. in Computer Science from National Cheng Kung University, where he specialized in fuzzy pattern recognition and intelligent clustering algorithms. His interdisciplinary background in computer science and industrial design enables him to bridge the gap between artificial intelligence, machine learning, human-computer interaction, and real-world applications.
Dr. Yin’s research interests include AI-driven motion analysis, sports technology, human-computer interaction, medical image processing, and computational biology. He has applied computer vision and deep learning to enhance athlete performance tracking, injury prevention, and digital health monitoring. His projects include AI-powered biomechanical analysis for baseball pitching mechanics, high-speed motion tracking for sports performance, and unsupervised learning techniques for medical imaging segmentation.
As a leading researcher, Dr. Yin has published extensively in top SCI journals, including IEEE Sensors Journal, BioData Mining, IEEE/ACM Transactions on Computer Biology and Bioinformatics, and Health and Social Care in the Community. He has also secured government and industry-funded projects. Beyond academia, Dr. Yin actively collaborates with industry partners, sports organizations, and medical institutions to develop intelligent sports training systems, AI-powered diagnostic tools, and digital health platforms. His expertise in machine learning, big data analytics, and intelligent system design has led to groundbreaking contributions in sports technology and biomedical research.
With a strong commitment to mentorship and interdisciplinary research, Dr. Yin is dedicated to nurturing the next generation of AI researchers and engineers. His vision is to integrate AI with sports, healthcare, and interactive systems, transforming research into practical solutions that enhance human performance and well-being.
Intellgent Human Machine Interaction (iHCI Lab) – Introduction
The Intellgent Human Machine Interaction (iHCI Lab) and Sports Technology & AI Research Center (STAR Center) at Southern Taiwan University of Science and Technology (STUST) is dedicated to the advancement of artificial intelligence, computer vision, and data-driven analysis in sports science, motion biomechanics, and digital health applications. Led by Dr. Zong-Xian Yin, the lab integrates AI technologies with real-world sports performance analysis, biomedical research, and intelligent training systems.
Our lab specializes in AI-powered motion analysis, sports performance tracking, and biomedical signal processing, with applications in:
- Sports Biomechanics & Motion Tracking
- AI-based athlete pose estimation and movement analysis.
- High-speed motion capture for baseball pitching, jumping, sprinting, and agility testing.
- Injury prevention through biomechanical data modeling.
- AI & Machine Learning for Sports Science
- Development of deep learning models for real-time athlete performance monitoring.
- AI-driven kinematic analysis for strength and conditioning.
- Biomedical Signal Processing & Computational Biology
- AI-based medical image segmentation for disease detection.
- Bayesian calibration of MEMS accelerometers for biomedical and sports applications.
- Gene co-expression analysis and biomarker identification using AI.
- Interactive Web-Based Systems & Digital Health Solutions
- Development of AI-driven sports training platforms.
- Digital health applications for chronic disease management.
🏋️ Sports Science & AI-based Motion Analysis
AI Image Recognition for Athlete Motion Tracking
- Using MediaPipe, OpenPose, and machine learning models to track and analyze body movements.
- Applications in baseball pitching mechanics, jumping performance, sprinting, and agility tests.
- High-speed video analysis for knee stability and performance optimization.
Biomechanical Analysis of Baseball Pitching
- Pitching biomechanics & knee stability impact on ball speed and control.
- Using machine learning and high-speed video processing for player movement analysis.
- Developing data-driven training programs for pitchers.
Strength & Conditioning Science
- Using force plates and motion sensors to measure jump power, isometric strength, and acceleration.
- Weight training optimization using AI-based feedback systems.
- Physiological monitoring of athletes to improve performance and reduce injury risk.
📊 AI & Computational Biology
AI-Based Image Processing in Medical Applications
- Unsupervised learning for coronary angiography segmentation.
- Bayesian calibration of MEMS accelerometers for biomedical and sports applications.
- Machine learning models for biomedical signal processing.
Interactive Web-Based Systems for Biological Pathway Analysis
- Using AI to create interactive KEGG-based biological pathway visualization.
- Enhancing pathway comparison and disease biomarker discovery.
Novel Algorithms for Gene Co-expression Analysis
- Developing variation-based clustering (VCD) algorithms for gene expression datasets.
- Applications in cancer genomics, biomarker identification, and personalized medicine.
Digital Health & Disease Management
- Photo diary & focus group studies to explore digital disease management needs.
- Wearable health monitoring and AI-driven patient engagement systems.
Dr. Yin strongly believes in bridging academic research with real-world applications. He is dedicated to mentoring students and young researchers, fostering innovation, and transforming AI technologies into practical solutions that enhance human performance and well-being.
- Best Paper Award
- Multiple awards in TDK Innovation Design Competition & Education Ministry AI Competitions
- Frequent mentor and judge in AI and sports science competitions
Educational Background of Dr. Zong-Xian Yin
- Ph.D. in Computer Science and Information Engineering, National Cheng Kung University, Taiwan
- M.S. in Industrial Design, National Cheng Kung University, Taiwan
- B.S. in Industrial Design, National Cheng Kung University, Taiwan
Dr. Yin’s interdisciplinary academic background in computer science and industrial design provides a strong foundation for his research in artificial intelligence, machine learning, human-computer interaction, and sports technology applications. His studies have focused on fuzzy clustering, intelligent systems, and data-driven modeling, which have been applied to sports biomechanics, biomedical image processing, and AI-powered motion analysis.