Human fall detection in hospital settings.
Research areas
External Member
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