Abstract
This paper discusses an opportunity for using affective computingmodalities to support the monitoring of emotional wellbeing of older people.The ageing population is escalating and is associated with an increase in thenumber of persons with dementia. It is also reported that older people can sufferfrom social isolation and that people with dementia can experience a range ofnegative emotions such as anxiety and depression. We present a model to carefor a person’s emotional wellbeing in the home using multiple-modalities suchas video, audio, electrodermal activity and photoplethysmography.
| Original language | English |
|---|---|
| Title of host publication | eHealth 360° |
| Publisher | Springer |
| Pages | 352-356 |
| Volume | 181 |
| ISBN (Print) | 978-3-319-49654-2 |
| DOIs | |
| Publication status | Published (in print/issue) - 1 Dec 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Affective computing
- Emotion
- Older people
- Ageing
- Dementia
Fingerprint
Dive into the research topics of 'SenseCare: Using Affective Computing to Manage and Care for the Emotional Wellbeing of Older People'. Together they form a unique fingerprint.Student theses
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Deep learning-based food image classification and crowdsourcing-based calorie estimation approach to support dietary management
McAllister, P. (Author), Zheng, H. (Supervisor), Moorhead, A. (Supervisor) & Bond, R. R. (Supervisor), Oct 2018Student thesis: Doctoral Thesis
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