Dementia has a severe impact on emotional functioning. People with dementia tend to find it difficult to recognize, articulate, and express their emotions. This can have a damaging effect on their mental health and the quality of their social relationships. With global populations increasingly aging, the need to address these issues becomes more prominent. One potential aid in tackling such problems is the use of sensor technologies and machine learning algorithms to make face-to-state analysis and classification of emotion status so as to provide care support. This paper describes the SenseCare system that uses affective computing methodology to capture, analyze, and store information on emotional outputs in the aim of providing effective tools for caregivers and medical professionals to provide more holistic care to people with dementia.
|Title of host publication||2018 IEEE International Conference on Bioinformatics and Biomedicine(BIBM 2018)|
|Place of Publication||Madrid, Spain|
|Number of pages||5|
|Publication status||Published - 3 Dec 2018|
- DATA INTEGRATION
- STREAMING MEDIA
- COMPUTER SCIENCE