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Long-term behavior change detection approach through objective technological observations toward better adaptation of services for elderly people

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Abstract

Behavior change is associated with important decrease of cognitive and physical capacities among elderly people. Therefore, a proactive detection of long-term behavior changes in early stages of their evolution is a keystone to improve elderly healthcare services. In fact, nowadays’ geriatric methods mainly rely on scales and questionnaires, and are inconvenient to investigate long-term changes on a daily basis. Therefore, our proposed approach for behavior change detection analyzes elderly people behavior over long periods via ambient technologies. In fact, employed technologies are unobtrusive, do not interfere with the natural behavior of elderly people and do not affect their privacy. Furthermore, our long-term behavior analysis is based on the identification of significant behavior change indicators (e.g., mobility, memory, nutrition and social life indicators significantly correlate with cognitive and physical diseases), and the application of efficient statistical techniques that differentiate long-term and short-term changes in analyzed behavior. In addition, our two-year deployment validates our objective technological observations through real correlations with medical observations of nursing-home team.

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Funding

Our work is part of the European project City4Age that received funding from the Horizon 2020 research and innovation program under grant agreement number 689731.

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Authors and Affiliations

  1. Montpellier Laboratory of Informatics, Robotics and Microelectronics (LIRMM), Montpellier, France

    Firas Kaddachi, Hamdi Aloulou & Philippe Fraisse

  2. University of Sherbrooke, Sherbrooke, Quebec, Canada

    Bessam Abdulrazak

  3. Institut Mines Telecom, Paris, France

    Mounir Mokhtari

Authors
  1. Firas Kaddachi
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  2. Hamdi Aloulou
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  3. Bessam Abdulrazak
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  4. Philippe Fraisse
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  5. Mounir Mokhtari
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Correspondence to Firas Kaddachi.

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This article does contain studies with human participants. Informed consent was obtained from all individual participants included in the study.

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Kaddachi, F., Aloulou, H., Abdulrazak, B. et al. Long-term behavior change detection approach through objective technological observations toward better adaptation of services for elderly people. Health Technol. 8, 329–340 (2018). https://doi.org/10.1007/s12553-018-0260-4

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  • DOI: https://doi.org/10.1007/s12553-018-0260-4

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