Air Quality Monitoring using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things
This paper presents <b><i>iAirBot</i></b><b><i>, </i></b>an assistive robot for indoor air quality monitoring based on Internet of Things. The system can communicate with occupants and triggers alerts automatically using social networks. The informatio...
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doaj-c0be1165179d4dc3a4ffde68405bc20a2020-11-25T02:21:30ZengMDPI AGElectronics2079-92922019-11-01812137510.3390/electronics8121375electronics8121375Air Quality Monitoring using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of ThingsGonçalo Marques0Ivan Miguel Pires1Nuno Miranda2Rui Pitarma3Research Unit for Inland Development, Polytechnic Institute of Guarda, 6300-559 Guarda, PortugalInstituto de Telecomunicações, Universidade da Beira Interior, 6201-001 Covilhã, PortugalResearch Unit for Inland Development, Polytechnic Institute of Guarda, 6300-559 Guarda, PortugalResearch Unit for Inland Development, Polytechnic Institute of Guarda, 6300-559 Guarda, PortugalThis paper presents <b><i>iAirBot</i></b><b><i>, </i></b>an assistive robot for indoor air quality monitoring based on Internet of Things. The system can communicate with occupants and triggers alerts automatically using social networks. The information can be accessed by the caregiver to plan interventions for enhanced living environments in a timely manner. The results are promising, as the proposed architecture presents a cost-effective assistive robot for indoor quality monitoring. It connects several technological fields and knowledge areas, such as ambient assisted living, Internet of Things, wireless sensor networks, social networks, and indoor air quality. When compared to other systems, <b><i>iAirBot</i></b> stands out for the modularity and scalability of its sensors network, as well as the use of social networks for information sharing. Therefore, <b><i>iAirBot</i></b> is a significant system for enhanced living environments, occupational health, and well-being.https://www.mdpi.com/2079-9292/8/12/1375indoor air qualityambient assisted livingenhanced living environmentsinternet of thingssmart homesocial networkswireless sensor networks |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gonçalo Marques Ivan Miguel Pires Nuno Miranda Rui Pitarma |
spellingShingle |
Gonçalo Marques Ivan Miguel Pires Nuno Miranda Rui Pitarma Air Quality Monitoring using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things Electronics indoor air quality ambient assisted living enhanced living environments internet of things smart home social networks wireless sensor networks |
author_facet |
Gonçalo Marques Ivan Miguel Pires Nuno Miranda Rui Pitarma |
author_sort |
Gonçalo Marques |
title |
Air Quality Monitoring using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things |
title_short |
Air Quality Monitoring using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things |
title_full |
Air Quality Monitoring using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things |
title_fullStr |
Air Quality Monitoring using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things |
title_full_unstemmed |
Air Quality Monitoring using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things |
title_sort |
air quality monitoring using assistive robots for ambient assisted living and enhanced living environments through internet of things |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2019-11-01 |
description |
This paper presents <b><i>iAirBot</i></b><b><i>, </i></b>an assistive robot for indoor air quality monitoring based on Internet of Things. The system can communicate with occupants and triggers alerts automatically using social networks. The information can be accessed by the caregiver to plan interventions for enhanced living environments in a timely manner. The results are promising, as the proposed architecture presents a cost-effective assistive robot for indoor quality monitoring. It connects several technological fields and knowledge areas, such as ambient assisted living, Internet of Things, wireless sensor networks, social networks, and indoor air quality. When compared to other systems, <b><i>iAirBot</i></b> stands out for the modularity and scalability of its sensors network, as well as the use of social networks for information sharing. Therefore, <b><i>iAirBot</i></b> is a significant system for enhanced living environments, occupational health, and well-being. |
topic |
indoor air quality ambient assisted living enhanced living environments internet of things smart home social networks wireless sensor networks |
url |
https://www.mdpi.com/2079-9292/8/12/1375 |
work_keys_str_mv |
AT goncalomarques airqualitymonitoringusingassistiverobotsforambientassistedlivingandenhancedlivingenvironmentsthroughinternetofthings AT ivanmiguelpires airqualitymonitoringusingassistiverobotsforambientassistedlivingandenhancedlivingenvironmentsthroughinternetofthings AT nunomiranda airqualitymonitoringusingassistiverobotsforambientassistedlivingandenhancedlivingenvironmentsthroughinternetofthings AT ruipitarma airqualitymonitoringusingassistiverobotsforambientassistedlivingandenhancedlivingenvironmentsthroughinternetofthings |
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