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Tailoring Activity Recognition to Provide Cues that Trigger Autobiographical Memory of Elderly People

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Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous 2013)

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Abstract

About a 19 % of elderly population is associated with poor performance in assessments of memory; the phenomenon is known as Age-related Memory Impairment (AMI). Lifelogging technologies can contribute to compensate for memories deficits. However, no matter how functional technology is, older people will not use it if they perceive it as intrusive or embarrassing. This paper shows our work to tailor current activity recognition techniques (based on Emerging Patterns) to provide value for AMI people from RFID reading and GPS positioning. Evaluation shows (1) increases in the recall of autobiographical memories, (2) recognition issues, which require the supervision of the e-Memory Diary, and (3) evidences that this approach didn’t suffer from the usual rejection showed to this technology by elderlies.

This work has been supported by “Cátedra Ubiquitous”, a joint research between San Jorge University and Hiberus Tecnología.

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Authors and Affiliations

  1. School of Computer Science, San Jorge University, Zaragoza, Spain

    Lorena Arcega, Jaime Font & Carlos Cetina

Authors
  1. Lorena Arcega
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  2. Jaime Font
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  3. Carlos Cetina
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Correspondence to Carlos Cetina .

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Editors and Affiliations

  1. University of Ottawa, Ottawa, Ontario, Canada

    Ivan Stojmenovic

  2. School of Computer Science and Engineering,The University of Aizu Tsuruga, Fukushima, Japan

    Zixue Cheng

  3. School of Computer Science and Engineering, The University of Aizu Tsuruga, Fukushima, Japan

    Song Guo

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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Arcega, L., Font, J., Cetina, C. (2014). Tailoring Activity Recognition to Provide Cues that Trigger Autobiographical Memory of Elderly People. In: Stojmenovic, I., Cheng, Z., Guo, S. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-11569-6_63

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  • DOI: https://doi.org/10.1007/978-3-319-11569-6_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11568-9

  • Online ISBN: 978-3-319-11569-6

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