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Using Emotion Recognition in Intelligent Interface Design for Elderly Care

  • Salik Khanal
  • Arsénio Reis
  • João Barroso
  • Vitor Filipe
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)

Abstract

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.

Keywords

Human-computer interaction Elderly care Image processing Emotion recognition Microsoft cognitive services 

Notes

Acknowledgement

This work was supported by Project “NanoSTIMA: Macro-to-Nano Human Sensing: Towards Integrated Multimodal Health Monitoring and Analytics/NORTE-01-0145-FEDER-000016” financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Salik Khanal
    • 1
    • 2
  • Arsénio Reis
    • 1
    • 2
  • João Barroso
    • 1
    • 2
  • Vitor Filipe
    • 1
    • 2
  1. 1.INESC TECPortoPortugal
  2. 2.University of Trás-os-Montes e Alto DouroVila RealPortugal

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