AI Movement Science: Computer Vision for Movement Analysis

Have you ever wondered how artificial intelligence can understand human movement? In this introductory course, you will discover how modern computer vision and AI technologies can transform a simple webcam into a powerful movement science laboratory. Using practical demonstrations and real-world examples, we explore how the human body can be tracked, measured, and analyzed through movement data.

You'll learn how AI identifies body landmarks, tracks motion, measures reaction time, evaluates balance, and helps us better understand human performance. Throughout the course, we explore a variety of interactive movement laboratories, including reaction time challenges, body-tracking systems, movement visualization tools, projectile prediction activities, and balance assessment demonstrations. These examples show how concepts from biomechanics, sports science, physics, mathematics, and artificial intelligence come together to create engaging learning experiences.

This course is designed as an accessible introduction rather than a programming course. No coding experience is required. Instead, the focus is on understanding the possibilities of AI-powered movement analysis and how these technologies can be applied in education, sport, health, rehabilitation, and human performance.

Whether you are a student, teacher, coach, healthcare professional, researcher, parent, or simply curious about the future of human movement technology, this course will provide a practical and engaging introduction to the rapidly growing field of AI-powered movement science. Join us as we explore how movement becomes data and how data can help us better understand the human body.