An ontology for reasoning on body-based gestures

Body-based gestures, such as acquired by Kinect sensor, today benefit from efficient tools for their recognition and development, but less for automated reasoning. To facilitate this activity, an ontology for structuring body-based gestures, based on user, body and body parts, gestures, and environment, is designed and encoded in Ontology Web Language according to modelling triples (subject, predicate, object). As a proof-of-concept and to feed this ontology, a gesture elicitation study collected 24 participants X 19 referents for IoT tasks = 456 elicited body-based gestures, which were classified and expressed according to the ontology.