Atmospheric pollution is the leading environmental risk for human health, with particular emphasis on indoor environments, due to people spending more than 90% of their time indoors. Higher pollution levels at indoor than outdoor locations have been reported by scientific studies, thereby sustaining the need for developing air quality studies in indoor environments worldwide. In this sense, this chapter aims to provide state of art on indoor air quality, encompassing aspects such as legislation, new and current measuring methodologies, and potential applications of the internet of things (IoT) and artificial intelligence (AI) in indoor environment management. As a relevant conclusion of this chapter, the IoT and AI implementation on indoor air quality management may result in an outstanding profit for citizens in terms of Public Health. Its versatility would easy a global solution for controlling air quality in indoor spaces. Nonetheless, in order to enforce this actuation, the betterment of the performance of IoT and AI tools should be addressed as a future challenge, mainly focusing on sensor devices, connectivity, network security or privacy, offering exciting opportunities to control indoor air quality.
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