About Us
About motion.how
The development of better athletes, from elite levels to grassroots programs, has been a key focus of the field of Performance and Motion Analysis in Sports over recent years. By analyzing the movements of the athlete, areas for improvement can be determined. Motion capture can determine the strengths and weaknesses of an athlete and is able to assist in adjusting their training accordingly.
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Today, Performance and Motion Analysis are mostly for elite clubs and athletes as it requires professional equipment, expertise, and a significant amount of time to analyze the videos. motion.how uses Machine learning and Artificial Intelligence technology in combination with human professional expertise to further enhance the use of motion capture. motion.how provides analysis, previously only available to elite athletes who have access to expensive equipment and professional coaches, to the grassroot practitioner.
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motion.how provides fully automated, immediate, inexpensive, and detailed Motion Capture analysis by utilizing Machine learning technology in combination with our proprietary motion.how AI models, which are tailor-made for every key motion of every sport. motion.how will continuously work on improving our motion models as we analyze more and more user and expert videos.
Motion Capture
Motion capture is the process of recording the movement of objects or people. The technology originated in the life science market for gait analysis but is now used widely by VFX studios, sports therapists, neuroscientists.
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One of the most memorable cinematic examples of motion capture is Andy Serkis's portrayal of Sméagol 'Gollum' in the Lord of the Rings.
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Motion capture can determine the strengths and weaknesses of an athlete and is able to assist in adjusting their training accordingly. It can also identify ways that the athlete can improve his technique, posture, accuracy, power, balance etc and hence improve. It is this little extra that can make the difference between winning and losing, between peak and weak performance.
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Motion capture is also very useful for determining the risk of injuries.
Machine Learning
Machine learning is a field devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on a set of tasks. Machine learning algorithms build a model based on sample data, known as training data, to make predictions, analysis, or decisions without being explicitly programmed to do so.