Prevention of Human fall events in hospital settings: 1 student


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: Ahmedt Aristizabal, David (Data61, Black Mountain)

Updated:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing