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Emotive sensors for intelligent care systems: A heuristic discussion of autonomic wireless sensing systems

  • A. M. Thomas
  • , P. Moore
  • , C. Evans
  • , M. Sharma
  • , P. Chima
  • , V. C. Vijay
  • , S. Abu Rmeileh
    • Birmingham City University

    Research output: Chapter in Book/Published conference output › Conference publication

    Abstract

    There is a growing need to facilitate at-home care through development of smart care spaces. Such systems require significant use of sensors, often potentially in very-low-power wireless nodes. In contrast to the logical and numerical nature of sensor data, care is emotional and hence symbolic in nature, and interfaces to care-systems need to respect the need to understand emotions and appropriately respond to them. Considering emotions and symbols from the ground up can help ensure that emotional intelligence is integrated throughout smart care-space development. Therefore, this paper provides a heuristic discussion around the potential for developing pseudo-emotions into low-power wireless sensor nodes, as an illustration of the concept.

    Original languageEnglish
    Title of host publicationProceedings - 2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013
    PublisherIEEE
    Pages499-504
    Number of pages6
    ISBN (Electronic)978-0-7695-4992-7
    DOIs
    Publication statusPublished - 2013
    Event2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013 - Taichung, Taiwan
    Duration: 3 Jul 2013 → 5 Jul 2013

    Publication series

    NameProceedings - 2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013

    Conference

    Conference2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013
    Country/TerritoryTaiwan
    CityTaichung
    Period3/07/13 → 5/07/13

    Keywords

    • Assisted living
    • Context-awareness
    • Health monitoring
    • Low-power
    • Pseudo-emotion
    • Sensors
    • Wireless

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