Halmstad Intelligent Home - Capabilities and Opportunities

Jens Lundström; Wagner Morais; Maria Menezes; Celeste Gabrielli; João Bentes; Anita Sant’Anna; Jonathan Synnott; Chris Nugent

Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers

Research Article

Halmstad Intelligent Home - Capabilities and Opportunities

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@INPROCEEDINGS{10.1007/978-3-319-51234-1_2,
    author={Jens Lundstr\o{}m and Wagner Morais and Maria Menezes and Celeste Gabrielli and Jo\"{a}o Bentes and Anita Sant’Anna and Jonathan Synnott and Chris Nugent},
    title={Halmstad Intelligent Home - Capabilities and Opportunities},
    proceedings={Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, V\aa{}ster\ae{}s, Sweden, October 18-19, 2016, Revised Selected Papers},
    proceedings_a={HEALTHYIOT},
    year={2017},
    month={1},
    keywords={Intelligent environments Multi-occupancy detection},
    doi={10.1007/978-3-319-51234-1_2}
}

Jens Lundström
Wagner Morais
Maria Menezes
Celeste Gabrielli
João Bentes
Anita Sant’Anna
Jonathan Synnott
Chris Nugent
Year: 2017
Halmstad Intelligent Home - Capabilities and Opportunities
HEALTHYIOT
Springer
DOI: 10.1007/978-3-319-51234-1_2

Jens Lundström^,*, Wagner Morais, Maria Menezes¹, Celeste Gabrielli², João Bentes¹, Anita Sant’Anna¹, Jonathan Synnott², Chris Nugent

1: Halmstad University
2: University of Ulster

*Contact email: jens.lundstrom@hh.se

Abstract

Research on intelligent environments, such as smart homes, concerns the mechanisms that intelligently orchestrate the pervasive technical infrastructure in the environment. However, significant challenges are to build, configure, use and maintain these systems. Providing personalized services while preserving the privacy of the occupants is also difficult. As an approach to facilitate research in this area, this paper presents the Halmstad Intelligent Home and a novel approach for multi-occupancy detection utilizing the presented environment. This paper also presents initial results and ongoing work.

Keywords: Intelligent environments Multi-occupancy detection

Published: 2017-01-20
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-51234-1_2