Abstract
In recent years, the number of elderly people with dementia has been increasing worldwide, and at the same time, the demand to care for elderly people with dementia has also been increasing. However, there is a chronic shortage of caregivers. Caregivers working in actual nursing homes have difficulty estimating the emotions of elderly people with dementia. Therefore, the purpose of this study is to estimate the emotions of elderly people with dementia using a method called Emotion Map, which estimates emotions from physiological signals. To achieve this, we conducted an investigation of physiological signals suitable for elderly people with dementia with the data collection in actual care facilities. The Emotion Map using pNN20 as an index of heart rate variability (HRV) can evaluate high-valence responses to stimuli that induce pleasant emotions, suggesting its effectiveness in estimating emotions in elderly people with dementia. In the future, it will be necessary to also investigate EEG indexes that estimate emotions with different levels of arousal and to increase the number of experiments.
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Acknowledgment
The authors would like to thank the staff members of the “Care Home for the Elderly Sawayaka Kinu no Sato Shinshu Okaya” for their cooperation in this experiment, the participants and their families, Mr. Eiji Otsuka and Mr. Yosuke Uchida of TPR Corporation for their support in conducting this experiment.
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Nakagawa, Y., Sugaya, M. (2023). Emotion Estimation for Elderly People with Dementia Using EEG and HRV. In: Gao, Q., Zhou, J., Duffy, V.G., Antona, M., Stephanidis, C. (eds) HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14055. Springer, Cham. https://doi.org/10.1007/978-3-031-48041-6_11
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DOI: https://doi.org/10.1007/978-3-031-48041-6_11
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