Article

Data visualisation and data mining technology for supporting care for older people

Authors:

Nicolas A. Hine,

John L. Arnott,

Julienne Hanson,

Richard G. Curry,

Dorota OsipovicAuthors Info & Claims

Assets '07: Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility

Pages 139 - 146

https://doi.org/10.1145/1296843.1296868

Published: 15 October 2007 Publication History

Abstract

The overall purpose of the research discussed here is the enhancement of home-based care by revealing individual patterns in the life of a person, through modelling of the "busyness" of activity in their dwelling, so that care can be better tailored to their needs and changing circumstances. The use of data mining and on-line analytical processing (OLAP) is potentially interesting in this context because of the possibility of exploring, detecting and predicting changes in the level of activity of people's movement that may reflect change in well-being. An investigation is presented here into the use of data mining and visualisation to illustrate activity from sensor data from a trial project run in a domestic context.

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Cited By

Kandel JDuppen CZhang QJiang HAngelopoulos ANeall AWagh PSzafir DFuchs HLewek MSzafir D(2024)PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease TreatmentProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642215(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642215
Sorrentino ARadi LCavallo FBecchimanzi CPistolesi MTosi FRovini EFiorini L(2022)Design and Development of a Telepresence and Monitoring Service to Empower the Older AdultsAmbient Assisted Living10.1007/978-3-031-08838-4_2(18-36)Online publication date: 29-Jul-2022
https://doi.org/10.1007/978-3-031-08838-4_2
Gupta PMcClatchey RCaleb-Solly P(2021)Intelligent IoT System Requirements to Support Self-Management for People with Learning Disabilities – A Study with Care Providers2021 17th International Conference on Intelligent Environments (IE)10.1109/IE51775.2021.9486621(1-8)Online publication date: Jun-2021
https://doi.org/10.1109/IE51775.2021.9486621
Show More Cited By

Index Terms

Data visualisation and data mining technology for supporting care for older people
1. Information systems
  1. Information retrieval
2. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Assistive technologies
  2. User characteristics
    1. People with disabilities

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cover image ACM Conferences

Assets '07: Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility

October 2007

282 pages

ISBN:9781595935731

DOI:10.1145/1296843

General Chair:
Enrico Pontelli
New Mexico State University, USA
,
Program Chair:
Shari Trewin
IBM T.J. Watson Research Center, USA

Copyright © 2007 ACM.

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 ACM 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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Published: 15 October 2007

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ASSETS07: The 9th International ACM SIGACCESS Conference on Computers and Accessibility

October 15 - 17, 2007

Arizona, Tempe, USA

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Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

Kandel JDuppen CZhang QJiang HAngelopoulos ANeall AWagh PSzafir DFuchs HLewek MSzafir D(2024)PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease TreatmentProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642215(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642215
Sorrentino ARadi LCavallo FBecchimanzi CPistolesi MTosi FRovini EFiorini L(2022)Design and Development of a Telepresence and Monitoring Service to Empower the Older AdultsAmbient Assisted Living10.1007/978-3-031-08838-4_2(18-36)Online publication date: 29-Jul-2022
https://doi.org/10.1007/978-3-031-08838-4_2
Gupta PMcClatchey RCaleb-Solly P(2021)Intelligent IoT System Requirements to Support Self-Management for People with Learning Disabilities – A Study with Care Providers2021 17th International Conference on Intelligent Environments (IE)10.1109/IE51775.2021.9486621(1-8)Online publication date: Jun-2021
https://doi.org/10.1109/IE51775.2021.9486621
McNeill ACampbell MCoventry LMakedon F(2019)The quantified older adult as design requirements for accessible wellbeing interventionsProceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3316782.3321533(59-68)Online publication date: 5-Jun-2019
https://dl.acm.org/doi/10.1145/3316782.3321533
Queirós Ada Rocha N(2019)Ambient Assisted Living: Systematic ReviewUsability, Accessibility and Ambient Assisted Living10.1007/978-3-319-91226-4_2(13-47)Online publication date: 22-Jan-2019
https://doi.org/10.1007/978-3-319-91226-4_2
Sawamto JWatanabe KYajima HKurosawa MTaniguchi Y(2018)Research on Hybrid Information Evaluation Type Watching Technology for the Improvement of QOL of the ElderlyProcedia Computer Science10.1016/j.procs.2018.08.031126(967-975)Online publication date: 2018
https://doi.org/10.1016/j.procs.2018.08.031
Fiorini LCavallo FDario PEavis ACaleb-Solly P(2017)Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity DataSensors10.3390/s1705103417:5(1034)Online publication date: 4-May-2017
https://doi.org/10.3390/s17051034
Fiorini LBonaccorsi MBetti SDario PCavallo F(2017)User Indoor Localisation System Enhances Activity Recognition: A Proof of ConceptAmbient Assisted Living10.1007/978-3-319-54283-6_19(251-268)Online publication date: 8-Apr-2017
https://doi.org/10.1007/978-3-319-54283-6_19
Turner K(2014)Managing Telehealth and TelecarePervasive Health10.1007/978-1-4471-6413-5_7(157-180)Online publication date: 16-Apr-2014
https://doi.org/10.1007/978-1-4471-6413-5_7
Robben SBoot MKanis MKröse BCzerwinski MMayora OLukowicz PCampbell AOsmani V(2013)Identifying and visualizing relevant deviations in longitudinal sensor patterns for care professionalsProceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare10.4108/icst.pervasivehealth.2013.252130(416-419)Online publication date: 5-May-2013
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