- Robotic Sports System / Player / Simulator
- Cricket
- Batting against a Machine that throws a ball with adjustable speed and spin / swing
- 3D video of bowler running towards the batsman and the machine throws the ball from a hole - feels like a real match; sound of crowds cheering
- Table Tennis
- Baseball
- Tennis
- Robocup
- People playing not video games, rather with a Robot in the real world
- More realistic than Kinect-experience
- Targeted towards Professionals (expensive)
- Player Analysis, Match Analysis Software
- Cricket
- Finding weakness of a batsman from database of description of every ball he faced and the strokes offered.
- Computer Vision
- Machine Learning, Statistics, Big Data
- Soccer: Match Analysis
- Project Tango
- Applications in Sports
- Machine learning & Statistical Analysis, Image Processing, Computer Vision (e.g., finding weakness of a batsman in cricket)
- Application of Data Science / Visualization techniques to Team play Analysis (e.g., Soccer)
- Sensors for feedback, performance analysis (e.g., in Tennis)
- Mechanical Engineering (e.g., batting practice in cricket)
- Enumerating all the skills, helping others learn those skills (make the skills automatic – so that players can perform them without thinking) Systematic acquisition of skills.
- Biomechanical Engineering. Image processing.
- Sports Psychology. Flow State. Optimum performance. Stress Management. Resilience. Visualization.
- Neural representation of over-lapping motor skills. Low level motor skills. High level motor skills consisting of low level skills. Hierarchical representation in the brain.
Researchers working in Neural Representation of Motor Learning / Motor Skills
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