Human fall detection in hospital settings.

External Member

David Ahmedt-Aristizabal

Description

Abstract: A vision-based fall detection systems should detect human regions in the scene and use information from these regions to train classifiers for fall recognition. Automatic fall detection systems can assist a fallen person who is unable to call for help through prompt fall alarms which then allow the triggering of a third party response. Dataset: adapt and develop datasets (e.g. simulated pose estimation and segmentation).

Contact: David Ahmedt-Aristizabal

Updated:  1 June 2019/Responsible Officer:  Head of School/Page Contact:  CECS Marketing