2020
DOI: 10.3390/s20133716
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Internet of Things for Smart Spaces: A University Campus Case Study

Abstract: Advances in technology and data analysis provide rich opportunities for developing intelligent environments assisting their inhabitants, so-called smart environments or smart spaces. Enhanced with technology, sensors, user interfaces, and various applications, such smart spaces are capable of recognizing users and situations they are in, react accordingly, e.g., by providing certain services or changes to the environment itself. Therefore, smart space solutions are gradually coming to different applica… Show more

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Cited by 24 publications
(17 citation statements)
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“…Square which is shown with number 6 is also an open space for students to study individually or within groups. In addition, the yellow cubes indicated with small squares in Figure 1) are tiny closed spaces for up to four people to be used for group meetings [6].…”
Section: A Tellus Smart Spacementioning
confidence: 99%
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“…Square which is shown with number 6 is also an open space for students to study individually or within groups. In addition, the yellow cubes indicated with small squares in Figure 1) are tiny closed spaces for up to four people to be used for group meetings [6].…”
Section: A Tellus Smart Spacementioning
confidence: 99%
“…We conduct our assessment considering 410 continuous days of measurements from CO 2 and PIR (passive infrared) motion detectors collected prior to the start of the pandemic in 2017-2018. The measurements come from the Tellus Innovation Arena 1 (See Figure 1) at the University of Oulu, Linnanmaa campus [6], which is a collaborative smart learning space. We use the measurements to demonstrate how these sensors can be used to estimate occupancy levels, as well as analyze occupancy patterns within the space.…”
Section: Introductionmentioning
confidence: 99%
“…Recent advances in human activity recognition has empowered further development in fields like medical computer science [21,22], industrial manufacturing [12,24], smart environments [8,26] and sports analysis [23,28]. However, some of the important basics as introduced in [2], on which much research in this area has built on, are not state of the art anymore.…”
Section: Related Workmentioning
confidence: 99%
“…According to published research, artificial intelligence for education can be used in academic support services and to support institutional and administrative services in four main areas: profiling and prediction, assessment and evaluation, adaptive systems and personalisation, and intelligent tutoring systems (Zawacki-Richter et al, 2019). Internet of Things (IoT) permits the interconnection of physical objects with the cloud to provide greater control and interaction through sensor nodes, augmented reality, and other technologies (Gilman et al, 2020). IoT aims for a better organisation so that students learn faster and teachers have better working conditions.…”
Section: Introductionmentioning
confidence: 99%