Automatic movement analytics in 3D for physiotherapy appliances

Automatic movement analytics in 3D for physiotherapy appliances

About the customer and the challenge

We are running the project in cooperation with partners from hospitals, universities and other technology providers with the main goal to support the correct performance of rehabilitation exercises at home.

Sedentary lifestyles and an ageing population are leading to an increased need to take care of our health through increased physical activity. However, improper exercise can do more harm than good. Unfortunately, due to the insufficient number of physiotherapists and the inability of people with physical problems and the elderly to get to trainings on their own, these people do not perform enough exercises or often perform them incorrectly.


We are applying 3D human behavior analysis to recognize which exercise is currently being performed, as well as if it’s being performed correctly. The 3D personal trainer is designed to support proper exercise while at the same time combining it with a virtual reality game to motivate exercisers through fun.

During the project we work on the correct setup and calibration of multiple Azure Kinect 3D cameras, creation of the training datasets as well as implementing AI algorithms for human pose estimation and human activity recognition.

The goal of the 3D personal trainer is, for example, to help patients after surgery to quickly regain their fitness and return to their normal physical condition through a so-called mobilization.

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