Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for extracting information from videos. The method includes annotating portions of interest within screen captures. The method also includes receiving at least a first set of videos for a video game. The method also includes training a first machine-learning model to identify the portions of interest within the first set of videos. The method also includes generating validation data based on results of the first machine-learning model. The method also includes extracting information based on the portions of interest identified in the first set of videos.

Abstract: Disclosed is a buttock support for at least partial load-relief of the body weight of a person, the buttock support having two support regions adapted to receive at least part of a buttock region of the person. Also disclosed is a load-relief system having the aforementioned buttock support. The two support regions are separated from one another by a gap and are rounded. The gap separates the two support regions from one another centrally. The buttock support significantly simplifies the connection of a person to the aforementioned load-relief system to prepare for manual and/or automated physical therapy and also ensures that the thigh region, in particular the inner face of the thigh, and the groin region are accessible for further medical/therapeutic treatment by the medical staff.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for extracting information from videos. The method includes annotating portions of interest within screen captures. The method also includes receiving at least a first set of videos for a video game. The method also includes training a first machine-learning model to identify the portions of interest within the first set of videos. The method also includes generating validation data based on results of the first machine-learning model. The method also includes extracting information based on the portions of interest identified in the first set of videos.

Abstract: A system for processing a dataset representing a plurality of pathways in a three-dimensional space includes an orientation associating unit for associating an orientation with at least part of at least one pathway of the plurality of pathways, to obtain an associated orientation. The system includes an opacity associating unit for associating an opacity level with at least part of the at least one pathway based on the associated orientation, to obtain an associated opacity level. The opacity associating unit includes an orientation comparator for comparing the associated orientation with a reference orientation. The orientation comparator is arranged for computing a degree of similarity between the associated orientation and the reference orientation.