Patent ID: 11869200
Assignee: KAIA HEALTH SOFTWARE GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A method for evaluating in a sequence of image data structures, motion patterns of a physical exercise among a plurality of physical exercises, the evaluation being based on a set of key data elements for each image data structure of the sequence of image data structures, wherein a key data element indicates a respective position of a landmark in the image data structure the method comprising:
determining, using a second machine learning (ML) model dedicated to the physical exercise to be evaluated among the plurality of physical exercises, class labels for each image data structure based on input data comprising at least one of the key data elements for at least one image data structure or data derived therefrom, said class labels identifying at least one of: at least one motion phase of the specific motion pattern, at least one evaluation point of the specific motion pattern, wherein said evaluation point is a point in time.