IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i11p1152-d83112.html
   My bibliography  Save this article

An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things Architecture

Author

Listed:
  • Gonçalo Marques

    (Unit for Inland Development, Polytechnic Institute of Guarda, Avendia Doutor Francisco Sá Carneiro N° 50, 6300-559 Guarda, Portugal)

  • Rui Pitarma

    (Unit for Inland Development, Polytechnic Institute of Guarda, Avendia Doutor Francisco Sá Carneiro N° 50, 6300-559 Guarda, Portugal)

Abstract

The study of systems and architectures for ambient assisted living (AAL) is undoubtedly a topic of great relevance given the aging of the world population. The AAL technologies are designed to meet the needs of the aging population in order to maintain their independence as long as possible. As people typically spend more than 90% of their time in indoor environments, indoor air quality (iAQ) is perceived as an imperative variable to be controlled for the inhabitants’ wellbeing and comfort. Advances in networking, sensors, and embedded devices have made it possible to monitor and provide assistance to people in their homes. The continuous technological advancements make it possible to build smart objects with great capabilities for sensing and connecting several possible advancements in ambient assisted living systems architectures. Indoor environments are characterized by several pollutant sources. Most of the monitoring frameworks instantly accessible are exceptionally costly and only permit the gathering of arbitrary examples. iAQ is an indoor air quality system based on an Internet of Things paradigm that incorporates in its construction Arduino, ESP8266, and XBee technologies for processing and data transmission and micro sensors for data acquisition. It also allows access to data collected through web access and through a mobile application in real time, and this data can be accessed by doctors in order to support medical diagnostics. Five smaller scale sensors of natural parameters (air temperature, moistness, carbon monoxide, carbon dioxide, and glow) were utilized. Different sensors can be included to check for particular contamination. The results reveal that the system can give a viable indoor air quality appraisal in order to anticipate technical interventions for improving indoor air quality. Indeed indoor air quality might be distinctively contrasted with what is normal for a quality living environment.

Suggested Citation

  • Gonçalo Marques & Rui Pitarma, 2016. "An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things Architecture," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:11:p:1152-:d:83112
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/11/1152/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/11/1152/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alessandra Cincinelli & Tania Martellini, 2017. "Indoor Air Quality and Health," IJERPH, MDPI, vol. 14(11), pages 1-5, October.
    2. Jagriti Saini & Maitreyee Dutta & Gonçalo Marques, 2020. "Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review," IJERPH, MDPI, vol. 17(14), pages 1-22, July.
    3. Graham Coulby & Adrian Clear & Oliver Jones & Alan Godfrey, 2020. "A Scoping Review of Technological Approaches to Environmental Monitoring," IJERPH, MDPI, vol. 17(11), pages 1-25, June.
    4. Ho-Hyun Kim & Min-Jung Kwak & Kwang-Jin Kim & Yoon-Kyung Gwak & Jeong-Hun Lee & Ho-Hyeong Yang, 2020. "Evaluation of IAQ Management Using an IoT-Based Indoor Garden," IJERPH, MDPI, vol. 17(6), pages 1-14, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:11:p:1152-:d:83112. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.