Skip to main content

A Holistic Approach to Interpreting Human States in Smart Environments Providing High Quality of Life

Stoica, Adrian, Iwashita, Yumi, Assad, Chris, Ryoo, Michael, Howells, Gareth (2017) A Holistic Approach to Interpreting Human States in Smart Environments Providing High Quality of Life. In: Proceedings of Seventh International Conference on Emerging Security Technology. . ISBN 978-1-5386-4019-7. E-ISBN 978-1-5386-4018-0. (doi:10.1109/EST.2017.8090412)

PDF - Author's Accepted Manuscript

Creative Commons Licence
This work is licensed under a Creative Commons Attribution 4.0 International License.
Download (316kB) Preview
[img]
Preview
Official URL
https://doi.org/10.1109/EST.2017.8090412

Abstract

We formulate a concept of a future smart environment for high quality of life (SEQUAL) that would empower humans to compensate for physical and cognitive disabilities associated with sickness and aging. In SEQUAL the assessment of the state of ‘well-being’ - from behaviors and biological signals - is holistic, meaning that the estimation of individual’s health, emotional condition, activity and wishes, are from the beginning determined in relation to each other and in (individual’s own) context, with superior results compared to when estimated independent from each other, as in common practice. Similarly, the prediction of a person’s future condition, intentions, future needs, and actions/treatment/interventions are determined holistically. SEQUAL includes robots, mobility systems and assistive devices for physical intervention, as well as remote professional caregivers, family and friends, to provide intelligent assistance and support network, aiming for higher quality of life for both patient and caregiver.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/EST.2017.8090412
Uncontrolled keywords: human condition; quality of life; human bio-signals; assistive technologies
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Gareth Howells
Date Deposited: 23 Aug 2017 16:08 UTC
Last Modified: 09 Jul 2019 11:49 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/62932 (The current URI for this page, for reference purposes)
  • Depositors only (login required):

Downloads

Downloads per month over past year