1 citations · 3 across the 8 of their papers we have counts for
9 papers
Remindful: Designing Reminder Systems for Caregiver Interpretation in Dementia Care
Joy Lai, Alex Mihailidis
Digital reminder systems are widely used in dementia care to support everyday tasks, but they are typically designed for one-way prompting rather than helping caregivers interpret…
Listening before Asking: Lived-Experience Advisors as Methodological Partners in Dementia Caregiving Studies
Joy Lai, Kelly Beaton, David Black +1
Research with dementia caregivers poses persistent methodological and ethical challenges, particularly when interview-based studies are designed without sufficient grounding in liv…
PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring
Joy Lai, Alex Mihailidis
People living with dementia (PLwD) often show gradual shifts in how they communicate, becoming less expressive, more repetitive, or drifting off-topic in subtle ways. While caregiv…
From Checking to Sensemaking: A Caregiver-in-the-Loop Framework for AI-Assisted Task Verification in Dementia Care
Joy Lai, Kelly Beaton, David Black +2
Informal caregivers play a central role in enabling people living with dementia (PLwD) to remain at home, yet they face persistent challenges verifying whether daily tasks have bee…
Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairment
Gelareh Hajian, Ali Abedi, Bing Ye +2
Driving is a key component of independence and quality of life for older adults. However, cognitive decline associated with conditions such as mild cognitive impairment and dementi…
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…
StairNet: Visual Recognition of Stairs for Human-Robot Locomotion
Andrew Garrett Kurbis, Dmytro Kuzmenko, Bogdan Ivanyuk-Skulskiy +2
Human-robot walking with prosthetic legs and exoskeletons, especially over complex terrains such as stairs, remains a significant challenge. Egocentric vision has the unique potent…
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…