A Transparent Home Sensors/Actuators Layer for Health and Well-Being Services

Philippe Tanguy; Christophe Lohr; Jérôme Kerdreux

eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers

Research Article

A Transparent Home Sensors/Actuators Layer for Health and Well-Being Services

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@INPROCEEDINGS{10.1007/978-3-319-49655-9_5,
    author={Philippe Tanguy and Christophe Lohr and J\^{e}r\~{o}me Kerdreux},
    title={A Transparent Home Sensors/Actuators Layer for Health and Well-Being Services},
    proceedings={eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers},
    proceedings_a={EHEALTH360},
    year={2017},
    month={1},
    keywords={Indoor environment quality Ambient assisted living User feedback},
    doi={10.1007/978-3-319-49655-9_5}
}

Philippe Tanguy
Christophe Lohr
Jérôme Kerdreux
Year: 2017
A Transparent Home Sensors/Actuators Layer for Health and Well-Being Services
EHEALTH360
Springer
DOI: 10.1007/978-3-319-49655-9_5

Philippe Tanguy¹^,*, Christophe Lohr¹^,*, Jérôme Kerdreux¹^,*

1: Telecom Bretagne, Technopôle Brest-Iroise

*Contact email: philippe.tanguy@telecom-bretagne.eu, christophe.lohr@telecom-bretagne.eu, jerome.kerdreux@telecom-bretagne.eu

Abstract

Risks factor leading to type 2 diabetes and cardiovascular diseases can be reduced by a preventive care infrastructure able to modify the habits toward healthier lifestyles, including more exercise, a better diet and a reduced stress. Accessing the home space is important not only to monitor indoor environment quality (IEQ) but also to provide relevant user’s feedback and engage users towards a healthy life style. This paper present a new preventive care infrastructure composed of a distributed infrastructure for heterogeneous devices in the home local area network (named xAAL) in conjunction with a machine to machine protocol (MQTT) to external health & well-being services.

Keywords: Indoor environment quality Ambient assisted living User feedback

Published: 2017-01-05
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-49655-9_5