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Keep shoppingAI Movement Science: Computer Vision for Movement Analysis
New
101 students
AI Movement Science: Computer Vision for Movement Analysis
Learn how AI and computer vision use reaction time, balance, and movement analysis to turn a webcam into a movement lab.
Created byHossein Mokhtarzadeh, Ph.D.
Last updated 6/2026
English
What you'll learn
- Understand how artificial intelligence and computer vision can be used to track and analyze human movement.
- Learn how a simple webcam can be transformed into a movement science laboratory for exploring balance, reaction time, and coordination.
- Discover how movement data can be used in sports science, healthcare, rehabilitation, and STEM education.
- Explore the fundamentals of body tracking, movement analysis, and AI-powered human performance assessment.
- Understand how reaction time, balance, and movement patterns can be measured using modern computer vision technologies.
- Gain insight into the future of AI-powered movement analysis and its applications in education, sport, and health.
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Course content
8 sections • 8 lectures • 29m total length
Requirements
- No prior experience in artificial intelligence, computer vision, biomechanics, or programming is required.
- A computer, tablet, or smartphone with internet access is recommended.
- A webcam is helpful if you would like to explore body-tracking and movement-analysis activities yourself.
- Curiosity about human movement, sport, health, STEM, or artificial intelligence is all you need to get started.
- This course is designed as an introductory exploration and is suitable for students, teachers, coaches, healthcare professionals, parents, and anyone interested in understanding how AI can be used to analyze human movement.
Description
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.
Who this course is for:
- Students interested in STEM, sports science, biomechanics, health, or artificial intelligence
- Teachers and educators looking for engaging ways to introduce AI and movement science concepts
- Coaches, trainers, and sports professionals interested in movement analysis and performance
- Healthcare and rehabilitation professionals curious about computer vision and movement tracking technologies
- Parents, researchers, and lifelong learners interested in how AI can help us better understand the human body