Human motion analysis has been widely used in the diagnosis of diseases of the neuro-musculoskeletal system and the planning and subsequent assessment of treatment. It is also an important technique in studying the motor control of human movement. The last few decades have seen great advances in the measurement and analysis techniques of human motion, with applications in a wide range of areas including health monitor-ing, human-machine interface, medical motion diagnosis and assessment. Laboratory experiments, data collection in rehabilitation clinics, and daily measurements with wearable devices have provided biomechanical research and applications with a wealth of healthy and pathological motion data. These data have provided a great opportunity for the corporation of modern machine learning methods with computerised biomechan-ical methods to analyse, estimate, and predict human movements. The objectives of this course are to introduce the fundamentals of the knowledge and techniques of ma-chine learning and to equip the students with computer skills to implement the machine learning and biomechanical methods for the state-of-the-art applications in the areas of human motion analysis for both scientific research and clinical purposes.