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Found 4 papers, 1 papers with code
Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia
Agitation is one of the most prevalent symptoms in people with dementia (PwD) that can place themselves and the caregiver's safety at risk.
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos
Our work differs from most existing approaches for video anomaly detection that focus on appearance-based features, which can put the privacy of a person at risk and is also susceptible to pixel-based noise, including illumination and viewing direction.
Multi Visual Modality Fall Detection Dataset
From a machine learning perspective, developing an effective fall detection system is challenging because of the rarity and variability of falls.
Tracking agitation in people living with dementia in a care environment
Agitation is a symptom that communicates distress in people living with dementia (PwD), and that can place them and others at risk.
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