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Promoting Health and Well-Being Using Wearable and Smartphone Technologies for Ambient Assisted Living Through Internet of Things

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Big Data and Networks Technologies (BDNT 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 81))

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Abstract

Ambient Assisted Living is an emerging multi-disciplinary field which addresses several technologies to increase the quality of life for enhanced living environments and occupational health. It is well documented that poor indoor environmental quality has a significant impact on people’s health and productivity. This is particularly relevant because most people spend more than 90% of their time inside buildings. In many buildings, indoor environmental quality can be highly poor. Thus, it is crucial to monitoring the indoor living environments in order to detect problems and act accordingly in useful time. This paper aims to present the iAmb, a solution for indoor environmental quality monitoring based on Internet of Things (IoT). This solution is composed of a hardware prototype for ambient data acquisition denominated by iAmb and software applications for data consulting. The monitored data are stored in a ThingSpeak platform and are available for data consulting trough Web, smartphone and smartwatch. The results obtained are very promising, representing a significant contribution to indoor environmental quality supervision systems based on IoT. Compared to other systems the iAmb is based on open-source technologies, is a wireless solution that provides modularity, scalability, easy installation and has smartwatch compatibility.

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Author information

Authors and Affiliations

  1. Polytechnic Institute of Guarda – Unit for Inland Development, Av. Dr. Francisco Sá Carneiro, nº 50, 6300–559, Guarda, Portugal

    Gonçalo Marques & Rui Pitarma

  2. Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal

    Gonçalo Marques

Authors
  1. Gonçalo Marques
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  2. Rui Pitarma
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Correspondence to Gonçalo Marques .

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Editors and Affiliations

  1. Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University, Errachidia, Morocco

    Yousef Farhaoui

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Marques, G., Pitarma, R. (2020). Promoting Health and Well-Being Using Wearable and Smartphone Technologies for Ambient Assisted Living Through Internet of Things. In: Farhaoui, Y. (eds) Big Data and Networks Technologies. BDNT 2019. Lecture Notes in Networks and Systems, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-030-23672-4_2

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