1 citations · 2 across the 5 of their papers we have counts for
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Depth-Weighted Detection of Behaviours of Risk in People with Dementia using Cameras
Pratik K. Mishra, Irene Ballester, Andrea Iaboni +4
The behavioural and psychological symptoms of dementia, such as agitation and aggression, present a significant health and safety risk in residential care settings. Many care facil…
Temporal Shift -- Multi-Objective Loss Function for Improved Anomaly Fall Detection
Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis
Falls are a major cause of injuries and deaths among older adults worldwide. Accurate fall detection can help reduce potential injuries and additional health complications. Differe…
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos
Pratik K. Mishra, Andrea Iaboni, Bing Ye +3
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 l…
DeepFall -- Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders
Jacob Nogas, Shehroz S. Khan, Alex Mihailidis
Human falls rarely occur; however, detecting falls is very important from the health and safety perspective. Due to the rarity of falls, it is difficult to employ supervised classi…