Graduate Student Seminar Series – Pratik Kumar Mishra

Graduate Student Seminar Series
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Location: HS610 – 155 College St, Room 610
Presentation Title: Unsupervised Deep Learning Approaches for Detection of Behaviours of Risk in People with Dementia
Abstract: 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 in common areas that are meant to help staff observe residents; however, typically these video streams are not monitored. In my research, I present the use of these video streams to detect episodes of clinically important agitation in people with dementia. Given that episodes of agitation are rare in comparison to normal behaviours, we formulated this as an anomaly detection problem. This involves using the video camera to monitor the scene rather than tracking individuals. We developed a customized spatio-temporal convolution autoencoder that is trained on the normal behaviours and then identified agitation during testing as anomalous behaviour. The video data was collected from a specialized dementia unit and annotated for agitation events. This research paves the way for leveraging existing surveillance infrastructure in LTC and other mental health settings to detect agitation or aggression, with the potential for improved health and safety.
Supervisor Name: Shehroz Khan, Alex Mihailidis
Year of Study: 4
Program of Study: PhD
Reschedule Reason: Venue and time change of BME Seminars
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