A Multi-Agent Approach to Assist with Dressing in a Smart Environment

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an approach to offer assistance with dressing for those persons with a form of cognitive impairment. The main underlying technical component in the solution is the use of a multi-agent system. A prototype was implemented, consisting of six agents, which received input in the form of simulated data. The system then has the ability to offer a recommendation as a person leaves their home environment in the form of a clothing suggestion. The decision for this is based partially on the external temperature and their current apparel. The long term aspiration of this work is to support persons with cognitive impairment to dress appropriately for environmental and social conditions.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages220-223
Number of pages4
ISBN (Electronic)978-3-319-49655-9
DOIs
Publication statusPublished - 1 Jan 2017
EventInternational Summit on eHealth 360°, 2016 - Budapest, Hungary
Duration: 14 Jun 201616 Jun 2016

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume181 LNICST
ISSN (Print)1867-8211

Conference

ConferenceInternational Summit on eHealth 360°, 2016
CountryHungary
CityBudapest
Period14/06/1616/06/16

Fingerprint

Multi agent systems
Temperature

Keywords

  • Activities of Daily Living
  • Cognitive Impairment
  • Dressing
  • Multi- agent System
  • Smart Environment.

Cite this

Orr, C., Nugent, C., Wang, H., & Zheng, H. (2017). A Multi-Agent Approach to Assist with Dressing in a Smart Environment. In Unknown Host Publication (pp. 220-223). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 181 LNICST). https://doi.org/10.1007/978-3-319-49655-9_29
Orr, Claire ; Nugent, Chris ; Wang, Haiying ; Zheng, Huiru. / A Multi-Agent Approach to Assist with Dressing in a Smart Environment. Unknown Host Publication. 2017. pp. 220-223 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).
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abstract = "This paper proposes an approach to offer assistance with dressing for those persons with a form of cognitive impairment. The main underlying technical component in the solution is the use of a multi-agent system. A prototype was implemented, consisting of six agents, which received input in the form of simulated data. The system then has the ability to offer a recommendation as a person leaves their home environment in the form of a clothing suggestion. The decision for this is based partially on the external temperature and their current apparel. The long term aspiration of this work is to support persons with cognitive impairment to dress appropriately for environmental and social conditions.",
keywords = "Activities of Daily Living, Cognitive Impairment, Dressing, Multi- agent System, Smart Environment.",
author = "Claire Orr and Chris Nugent and Haiying Wang and Huiru Zheng",
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Orr, C, Nugent, C, Wang, H & Zheng, H 2017, A Multi-Agent Approach to Assist with Dressing in a Smart Environment. in Unknown Host Publication. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 181 LNICST, pp. 220-223, International Summit on eHealth 360°, 2016, Budapest, Hungary, 14/06/16. https://doi.org/10.1007/978-3-319-49655-9_29

A Multi-Agent Approach to Assist with Dressing in a Smart Environment. / Orr, Claire; Nugent, Chris; Wang, Haiying; Zheng, Huiru.

Unknown Host Publication. 2017. p. 220-223 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 181 LNICST).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper proposes an approach to offer assistance with dressing for those persons with a form of cognitive impairment. The main underlying technical component in the solution is the use of a multi-agent system. A prototype was implemented, consisting of six agents, which received input in the form of simulated data. The system then has the ability to offer a recommendation as a person leaves their home environment in the form of a clothing suggestion. The decision for this is based partially on the external temperature and their current apparel. The long term aspiration of this work is to support persons with cognitive impairment to dress appropriately for environmental and social conditions.

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Orr C, Nugent C, Wang H, Zheng H. A Multi-Agent Approach to Assist with Dressing in a Smart Environment. In Unknown Host Publication. 2017. p. 220-223. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). https://doi.org/10.1007/978-3-319-49655-9_29