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Evaluating Video Playing Application for Elderly People at Home by Facial Expression Sensing Service

Published: 27 January 2021 Publication History

Abstract

We have been developing "Facial expression sensing service" for emotional analysis and quantitative evaluation of care based on subtle facial movements and conducted a preliminary experiment about its practicality. In this research, focusing both obtaining facial expression data and searching for an efficient care method, to elderly people can activate themselves and relieve their stress, we have developed "Video player service" that can easily play videos and automatically collect facial expression data. After developing the service, we have asked people who engage in elderly care to try it and obtained feedback. As a result, we received favorable comments for the usefulness of the service, and we were able to get facial expression data for four people.

References

[1]
Elder Care Alliance. [n.d.]. Benefits of Reminiscence Therapy. https://eldercarealliance.org/blog/benefits-reminiscence-therapy/. accessed August 15, 2020.
[2]
P. Ekman and W. V Friesen. 1975. Unmasking the Face. Malor Books.
[3]
Headquarters for Japan's Economic Revitalization (No.26). [n.d.]. Future investment strategy (2017). http://www.kantei.go.jp/jp/singi/keizaisaisei/dai26/siryou.pdf.
[4]
Kosuke Hirayama, Sachio Saiki, Masahide Nakamura, and Kiyoshi Yasuda. 2020. Capturing User-defined Facial Features for Scientific Evidence of Elderly Care. In The 2020 International Workshop on Pervasive Information Flow (PerFlow'20), Held in conjunction with the 18th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2020). 35--40.
[5]
International Organization for Standardization. 2011. Systems and software Quality Requirements and Evaluation (SQuaRE). https://www.iso.org/standard/35733.html/.
[6]
Davis E. King. 2009. Dlib-ml: A Machine Learning Toolkit. Journal of Machine Learning Research 10 (2009), 1755--1758.
[7]
A. Nakazawa and M. Honda. 2019. First-Person Camera System to Evaluate Tender Dementia-Care Skill. In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). 4435--4442.
[8]
Julia O'Rourke, Fiona Tobin, Susan O'Callaghan, Rebecca Sowman, and DR Collins. 2011. 'YouTube': a useful tool for reminiscence therapy in dementia? Age and Ageing 40, 6 (08 2011), 742--744. https://doi.org/10.1093/ageing/afr100arXiv:https://academic.oup.com/ageing/article-pdf/40/6/742/98976/afr100.pdf
[9]
Arashi Sako, Sachio Saiki, Masahide Nakamura, and Kiyoshi Yasuda. 2018. Developing Face Emotion Tracker for Quantitative Evaluation of Care Effects. In Digital Human Modeling 2018 (DHM 2018), Held as Part of HCI International 2018, Vol. LNCS 10917. 513--526. Las Vegas, USA.
[10]
Kazunori Sato, Kazuyuki Sugino, and Takashi Hayashi. 2010. Development of an objective evaluation method for the nursing-care education based on facial expression analysis. Medical and health science research: Bulletin of Tsukuba International University 1 (2010), 163--170.
[11]
Seiki Tokunaga, Kazunari Tamamizu, Sachio Saiki, Masahide Nakamura, and Kiyoshi Yasuda. 2016. VirtualCareGiver: Personalized Smart Elderly Care. International Journal of Software Innovation (IJSI) 5, 1 (Oct 2016), 30--43. http://www.igi-global.com/journals/abstract-announcement/158780.
[12]
Charles Tyack, Paul M. Camic, Michael James Heron, and Sabina Hulbert. 2017. Viewing Art on a Tablet Computer: A Well-Being Intervention for People With Dementia and Their Caregivers. Journal of Applied Gerontology 36, 7 (2017), 864--894. https://doi.org/10.1177/0733464815617287arXiv:https://doi.org/10.1177/0733464815617287 26675353.
[13]
Bob Woods, Laura O'Philbin, Emma M Farrell, Aimee E Spector, and Martin Orrell. 2018. Reminiscence therapy for dementia. The Cochrane database of systematic reviews 3, 3 (2018).

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      cover image ACM Other conferences
      iiWAS '20: Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services
      November 2020
      492 pages
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      • Johannes Kepler University, Linz, Austria

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      Published: 27 January 2021

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      Author Tags

      1. Care effect
      2. Facial expression analysis
      3. Reminiscence therapy
      4. Scientific long-term care

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