Real time building zone occupancy detection and activity visualization utilizing a visitor counting sensor network

Kuutti, Jussi; Saarikko, Petri; Sepponen, Raimo

doi:10.1109/rev.2014.6784260

Cited by 24 publications

(20 citation statements)

References 11 publications

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“…It was decided that the research should result in a prototype system using a network camera and at least one multi-sensor device (hereafter MSD), since they were deemed integral to the thesis. The network camera has the ability to detect movement, which can be used to count people moving in and out of rooms, a method used in several projects [6,14,19,20]. The MSD can monitor temperature, light intensity levels, humidity and other objective measures, which can be used by a building management system [12,17].…”

Section: Research Questionmentioning

confidence: 99%

“…Such as using light beam and IR counting sensors to analyze occupancy levels of a house and adjust the airflow of the ventilation system accordingly [19], using video streams and location data to better count the number of pedestrians in an area [16] or decrease traffic congestion and energy consumption in a whole city [23]. IoT projects relevant to this study are reviewed in chapter 3.…”

Section: What Is the Internet Of Things?mentioning

confidence: 99%

“…Sensors used to improve building management include temperature, humidity, electricity meters, light intensity sensors, motion sensors, CO 2 and sensors for counting people and estimating building occupancy [17,19].…”

Section: Benefits Of Smart Building Managementmentioning

confidence: 99%

“…The objective of this study by Kuutti et al was to implement a network of counting sensors inside a building in order to determine room occupancy levels and use the data to control a demand-controlled ventilation (DCV) system, by raising the airflow if occupancy levels increased [19]. To count people visiting the building, they used twelve light beam sensors and three IR camera sensors spread throughout ten zones on three different floors.…”

Section: Kuutti Et Al -Real Time Building Zone Occupancy Detection Amentioning

confidence: 99%

See 3 more Smart Citations

The global innovation networks and global production networks of firms: Conceptualization and implication

Liu

2017

African Journal of Science, Technology, Innovation and Developm

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Section: Research Questionmentioning

confidence: 99%

Section: What Is the Internet Of Things?mentioning

confidence: 99%

Section: Benefits Of Smart Building Managementmentioning

confidence: 99%

Section: Kuutti Et Al -Real Time Building Zone Occupancy Detection Amentioning

confidence: 99%

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The global innovation networks and global production networks of firms: Conceptualization and implication

Liu

2017

African Journal of Science, Technology, Innovation and Developm

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“…For example, Kuutti et al [7] use basic dots and arrows to render current building occupancy. Rassia [8] constructs a flow map and superimposes it over a floor plan to visualize occupants' activity for a typical workday.…”

Section: Visualization Of Space Occupantsmentioning

confidence: 99%

AtmoSPHERE

Wills

Potasznik

et al. 2015

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

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A Zen garden, also known as Japanese rock garden or Ryoanji garden [1], creates a peaceful way to visualize space and tranquility. In this paper, we introduce AtmoSPHERE, a new method for automatically imbuing a Zen garden with properties of its surrounding space and occupants. AtmoSPHERE uses a Microsoft Kinect to monitor and extract movement in a room and then visualizes representations of this movement physically via sand traces on a custom built XY sandbox table. We present our prototype system, the design process and interaction modes, feedback from a preliminary deployment, and a discussion of future work.

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Building Multi-occupancy Analysis and Visualization Through Data Intensive Processing

Ioannidis

Tropios

Krinidis

et al. 2016

IFIP Advances in Information and Communication Technology

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A novel Building Multi-Occupancy Analysis & Visualization through Data Intensive Processing techniques is going to be presented in this paper. Building occupancy monitoring plays an important role in increasing energy efficiency and provides useful semantic information about the usage of different spaces and building performance generally. In this paper the occupancy extraction subsystem is constituted by a collection of depth image cameras and a multi-sensorial cloud (utilizing big data from various sensor types) in order to extract the occupancy per space. Furthermore, a number of novel visual analytics techniques allow the end-users to process big data in different temporal resolutions in a compact and comprehensive way taking into account properties of human cognition and perception, assisting them to detect patterns that may be difficult to be detected otherwise. The proposed building occupancy analysis system has been tested and applied to various spaces of CERTH premises with different characteristics in a real-life testbed environment.

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Real time building zone occupancy detection and activity visualization utilizing a visitor counting sensor network

Cited by 24 publications

References 11 publications

The global innovation networks and global production networks of firms: Conceptualization and implication

The global innovation networks and global production networks of firms: Conceptualization and implication

AtmoSPHERE

Building Multi-occupancy Analysis and Visualization Through Data Intensive Processing

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