Graduate Seminar Series: Clinical Stream
Graduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.
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Presentation Title: Automatic Detection of Behaviours of Risk in People with Dementia using Unsupervised Deep Learning
Abstract: Behavioural symptoms of dementia present a significant risk within long-term care homes. Due to limited staffing resources, supporting residents and monitoring their safety becomes more challenging. Many long-term care facilities have video surveillance systems installed in common areas to help staff observe residents; however, the videos are not always monitored by staff. The videos contain vital information that can be used to build deep learning solutions that automatically identify clinically important behaviours of risk and alert the staff. Such an environmental monitoring system can facilitate timely intervention by staff to prevent accidents or harm to the residents and better support their care. We developed a customized spatio-temporal convolutional autoencoder that learns the characteristics of the normal video scenes and identifies the scenes with events of behaviours of risk as anomalies. To avoid privacy-related concerns associated with video data, as they contain information related to facial identity and the overall appearance of the participants, the participant’s identity was anonymized before being fed as input to the autoencoder by extracting only the postures or masking the appearance of the participants. We present preliminary results using video surveillance data with a single dementia participant and a single camera collected from a dementia care unit. Our approach gave an AUC of ROC of 0.808 for the best-performing privacy-protecting approach, surpassing the performance of raw video input. This research paves the way for leveraging existing surveillance infrastructure in care homes to detect behaviours of risk in people with dementia while preserving their privacy
Supervisor Name: Shehroz Khan
Year of Study: 2
Program of Study: PhD
Zoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09
Meeting ID: 896 1037 2821
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