Our algorithms understand every movement as a biomechanical process. Few would relate the jerk during weightlifting to the tennis player’s ball throw, a traditional block in karate or the movements during vacuuming. Our algorithms recognise that all four movements are based on flexion of the shoulder joint. The differences lie in the loads and joint angles reached at different times of the movements, as well as the position of all other joints and additional movement in other planes inside the shoulder. The ability to interpret movements in the context of biomechanics enables the algorithms to develop an understanding of requirement profiles for a wide range of activities.
Active shoulder flexion
Shoulder flexion in weightlifting
Shoulder flexion in karate
Health is the foundation for performance. This is why our algorithms ask for joint pain and connect the localisation with the findings during the biomechanical testing. The collected data about strength, flexibility and stability in addition to side to side differences is combined to interpret the situation and determine which exercise should be recommended. If these exercises can be performed pain free and create improvements through decreasing the pain, these exercises are added to the program. Our algorithms understand that not only the correct exercises but also the correct volume, intensity, frequency and recovery periods are key to improving the condition of the person. Since the recovery process takes time and needs to be monitored during the process we are designing algorithms that interact with the user through questions to make sure that the program gets adjusted if needed.
The dojo athletics app is the first platform where our algorithm can be seen in action. Test your anatomy, answer all questions regarding your karate and receive your program. Exercises are selected out of a database containing 2000 exercises. As a result, each user is supported with a customized program for their individual needs and goals. For more information visit our page.
Our vision is a fully autonomous intelligent system that supports people in any context of movement based on a test-retest process combined with visual analysis of movement quality. We are developing software that in the next 5 to 10 years will enable robots to guide pain management after surgery, help people improve their serve, master their first pull-up or learn karate.
Understanding the biomechanical similarities and differences in the context of different sports will finally lead to a single algorithm that will be available as software for the autonomous trainer. In this way, we create a general movement intelligence that communicates with people, accompanies them and helps them to achieve their goals.