In the later stages of the aging process, an elderly person might need the help of a family member or a caregiver. Technology can be used to help to take care of elderly persons. Autonomous systems, using special interfaces, can collect information from elderly people, which might be useful to predict and recognize health related problems or physical security problems in real time. The emerging technology of image processing, in particular, the emotion recognition, can be a good option to use in elderly care support systems. In this article, we implemented a Microsoft Azure – Emotion SDK to recognize emotion of elderly that able to detect faces and recognize emotions in real time and to be used for elderly care support. The analysis is done with an online video stream, which analyzes facial expression, so that in case of a critical emotion, e.g., if an elderly is very sad or crying, it will inform a caregiver or related entity. From the experiment, we concluded that emotion recognition is a reliable technology to be implemented in real time elderly care.
CITATION STYLE
Khanal, S., Reis, A., Barroso, J., & Filipe, V. (2018). Using emotion recognition in intelligent interface design for elderly care. In Advances in Intelligent Systems and Computing (Vol. 746, pp. 240–247). Springer Verlag. https://doi.org/10.1007/978-3-319-77712-2_23
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