Alex Mihailidis

Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia

2022 · IEEE Access

Behavioural symptoms of dementia present a significant risk within Long Term Care (LTC) homes, which face difficulties supporting residents and monitoring their safety with limited staffing resources. Many LTC facilities have installed video surveillance systems …

Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos

2022 · arXiv (Cornell University)

People living with dementia often exhibit behavioural and psychological symptoms of dementia that can put their and others' safety at risk. Existing video surveillance systems in long-term care facilities can be used to monitor such …

Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions

2024 · IEEE Transactions on Emerging Topics in Computational Intelligence

The existing methods for video anomaly detection mostly utilize videos containing identifiable facial and appearance-based features. The use of videos with identifiable faces raises privacy concerns, especially when used in a hospital or community-based setting. …