TY - CHAP
T1 - Pervasive sensing for social connectedness
AU - Davis, Kadian
AU - Owusu, Evans B.
AU - Marcenaro, Lucio
AU - Hu, Jun
AU - Regazzoni, Carlo S.
AU - Feijs, Loe
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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
AB - 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
KW - Ambient assisted living environments
KW - Assisted living
KW - Bidirectional activity-based peripheral systems
KW - Bidirectional context-aware system
KW - Biology and medical computing
KW - Digital signal processing
KW - Elderly caregivers
KW - Geriatrics
KW - Global population ageing
KW - Human activity recognition models
KW - Human computer interaction
KW - Human-computer interaction
KW - Medical signal processing
KW - Multidisciplinary framework
KW - Pervasive computing
KW - Pervasive sensing
KW - Quality of life
KW - Signal processing
KW - Smart devices
KW - Social and behavioural sciences computing
KW - Social connectedness
KW - Social science
KW - Social sciences
KW - Socio-technical awareness systems
KW - Ubiquitous and pervasive computing
KW - Ubiquitous computing
KW - User centred design
KW - User interfaces
KW - User-centred approach
KW - User-driven methodological approach
UR - http://www.scopus.com/inward/record.url?scp=85117974437&partnerID=8YFLogxK
U2 - 10.1049/PBHE010E_ch3
DO - 10.1049/PBHE010E_ch3
M3 - Chapter
AN - SCOPUS:85117974437
SN - 9781785612114
SP - 49
EP - 79
BT - Enhanced Living Environments
A2 - Goleva, R.I.
A2 - Ganchev, I.
A2 - Dopre, C.
PB - Institution of Engineering and Technology
ER -