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Detecting anomalous elderly behaviour in ambient assisted living

Published: 26 June 2017 Publication History

Abstract

The increasing availability of sensors and intelligent objects enables new functionalities and services. In the Ambient Assisted Living domain such technologies can be used for monitoring the elderly behaviour, and reasoning about it to detect possible anomalous situations, which could be a sign of the next onset of chronic illness or initial physical and cognitive decline. In this paper we propose a solution that exploits task models describing expected user behaviour, and a context manager able to detect relevant contextual events and conditions determined by the actual elderly behaviour. Planned and actual behaviour are compared to detect if any deviation occurred. The resulting environment is able to generate multimodal actions such as reminders and alarms aiming to provide useful support when such anomalous behaviour is detected.

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Vikramaditya Jakkula, Diane J. Cook. 2008. "Anomaly detection using temporal data mining in a smart home environment." Methods of information in medicine 47.1: 70--75.
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Dorothy N. Monekosso, Paolo Remagnino. 2010. "Behaviour analysis for assisted living." IEEE Transactions on Automation science and Engineering 7.4: 879--886.
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Giulio Mori, Fabio Paternò, Carmen Santoro. 2002. "CTTE: Support for Developing and Analyzing Task Models for Interactive System Design." IEEE Trans. Software Eng. 28(8): 797--813
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Qin Ni, Ana Bel n Garc a Hernando, Iv n Pau de la Cruz. 2015. "The Elderly's Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development." Ed. Panicos Kyriacou. Sensors, 15.5: 11312 11362. PMC.
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Cited By

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  • (2022)Identifying and Monitoring the Daily Routine of Seniors Living at HomeSensors10.3390/s2203099222:3(992)Online publication date: 27-Jan-2022
  • (2022)A Transformer-based Model for Older Adult Behavior Change Detection2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)10.1109/ICHI54592.2022.00016(27-35)Online publication date: Jun-2022
  • (2021)A survey for user behavior analysis based on machine learning techniques: current models and applicationsApplied Intelligence10.1007/s10489-020-02160-x51:8(6029-6055)Online publication date: 26-Jan-2021
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  1. Detecting anomalous elderly behaviour in ambient assisted living

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    cover image ACM Conferences
    EICS '17: Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems
    June 2017
    164 pages
    ISBN:9781450350839
    DOI:10.1145/3102113
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 26 June 2017

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    Author Tags

    1. ambient assisted living
    2. deviations in task performance
    3. elderly behaviour analysis

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    Cited By

    View all
    • (2022)Identifying and Monitoring the Daily Routine of Seniors Living at HomeSensors10.3390/s2203099222:3(992)Online publication date: 27-Jan-2022
    • (2022)A Transformer-based Model for Older Adult Behavior Change Detection2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)10.1109/ICHI54592.2022.00016(27-35)Online publication date: Jun-2022
    • (2021)A survey for user behavior analysis based on machine learning techniques: current models and applicationsApplied Intelligence10.1007/s10489-020-02160-x51:8(6029-6055)Online publication date: 26-Jan-2021
    • (2018)Parallel Metric Tree Embedding Based on an Algebraic View on Moore-Bellman-FordJournal of the ACM10.1145/323159165:6(1-55)Online publication date: 22-Nov-2018
    • (2018)Real-Time Anomaly Detection in Elderly Behavior with the Support of Task ModelsProceedings of the ACM on Human-Computer Interaction10.1145/32290972:EICS(1-18)Online publication date: 19-Jun-2018
    • (2018)Real-Time Anomaly Detection in Elderly BehaviorProceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3220134.3220145(1-6)Online publication date: 19-Jun-2018
    • (2018)Integration of Information Systems and Cybersecurity CountermeasuresACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/3184444.318444849:1(33-52)Online publication date: 1-Feb-2018
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