Pervasive sensing for social connectedness

Kadian Davis, Evans B. Owusu, Lucio Marcenaro, Jun Hu, Carlo S. Regazzoni, Loe Feijs

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

1 Citaat (Scopus)
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Samenvatting

Global population ageing is an emerging challenge of the twenty-first century. In an era of pervasive computing (i.e. the proliferation of ever-present smart devices), governments, companies, and academic institutions are working together to develop and promote cutting-edge initiatives that sustain the quality of life and address the complexities and opportunities of an ageing world. In this chapter, we propose a user-centred approach within a multidisciplinary framework, which incorporates human-computer interaction, social science, signal processing, and pervasive computing, to inspire the design of a bidirectional context-aware system to support social connectedness between the elderly and their caregivers. Following a review of previous works on socio-technical awareness systems and human activity recognition models, we describe our user-driven methodological approach and demonstrate the value and potential benefits of bidirectional activity-based peripheral systems within ambient assisted living environments
Originele taal-2Engels
TitelEnhanced Living Environments
Subtitelfrom models to technologies
RedacteurenR.I. Goleva, I. Ganchev, C. Dopre
UitgeverijInstitution of Engineering and Technology
Hoofdstuk3
Pagina's49-79
Aantal pagina's31
ISBN van elektronische versie9781785612121
ISBN van geprinte versie9781785612114
DOI's
StatusGepubliceerd - 1 jan. 2018

Bibliografische nota

Publisher Copyright:
© The Institution of Engineering and Technology 2018.

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