Device‐free indoor human presence detection method based on the information entropy of RSSI variations

Mrazovac, Bojan; Todorović, Branislav M.; Bjelica, Milan Z.; Kukolj, Dragan

doi:10.1049/el.2013.1041

Cited by 19 publications

(6 citation statements)

References 6 publications

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“…Then, each successive device (in this case, the 15 remaining probes) receives the same signal and receives the same TX Power parameter while measuring the signal level induced in the antenna path and then subjects it to the quantization process. Therefore, each connection of the transmitter and receiver in Figure 7 (dashed lines) is called the projection angle, and based on its analysis at rest, i.e., without interrupting the field of view of a given pair of devices, it is possible to determine whether something interrupts the "eye contact" of the transmitters or not [54][55][56]. Breaking the Each probe transmitting module transmits a packet containing information about its transmit power (TX Power).…”

Section: Radio Tomography Imaging-measurement Modelsmentioning

confidence: 99%

A Smart Building Resource Prediction, Navigation and Management System Supported by Radio Tomography and Computational Intelligence

Styła¹,

Adamkiewicz

Cieplak

et al. 2021

Energies

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This article presents research results on a smart building prediction, navigation and asset management system. The main goal of this work was to combine all comfort subsystems, such as lighting, heating or air conditioning control, into one coherent management system supported by navigation using radio tomographic imaging techniques and computational intelligence in order to improve the building’s ability to track users and then maximize the energy efficiency of the building by analyzing their behavior. In addition, the data obtained in this way were used to increase the quality of navigation services, improve the safety and ergonomics of using the room access control system and create a centralized control panel enriched with records of the working time of individual people. The quality of the building’s user habit learning is ensured by a network of sensors collecting environmental data and thus the setting values of the comfort modules. The advantage of such a complex solution is an increase in the accuracy of navigation services provided, an improvement in the energy balance, an improvement in the level of safety and faster facility diagnostics. The solution uses proprietary small device assemblies with implementation of popular wireless transmission standards such as Bluetooth, Wi-Fi, ZigBee or Z-Wave. These PANs (personal area networks) are used to update and transmit environmental and navigation data (Bluetooth), to maintain the connection of other PANs to the master server (Wi-Fi) and to communicate with specific end devices (ZigBee and Z-Wave).

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Section: Radio Tomography Imaging-measurement Modelsmentioning

confidence: 99%

A Smart Building Resource Prediction, Navigation and Management System Supported by Radio Tomography and Computational Intelligence

Styła¹,

Adamkiewicz

Cieplak

et al. 2021

Energies

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“…In [ 22 ] a person detection method was introduced, which is based on entropy analysis of registered RSSI values. The experiments were performed with use of radio transmitters and receivers working with a frequency of 2.4 GHz.…”

Section: Sensing Technologiesmentioning

confidence: 99%

A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring

Bernaś

Płaczek

Korski

et al. 2018

Sensors

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This paper reviews low-cost vehicle and pedestrian detection methods and compares their accuracy. The main goal of this survey is to summarize the progress achieved to date and to help identify the sensing technologies that provide high detection accuracy and meet requirements related to cost and ease of installation. Special attention is paid to wireless battery-powered detectors of small dimensions that can be quickly and effortlessly installed alongside traffic lanes (on the side of a road or on a curb) without any additional supporting structures. The comparison of detection methods presented in this paper is based on results of experiments that were conducted with a variety of sensors in a wide range of configurations. During experiments various sensor sets were analyzed. It was shown that the detection accuracy can be significantly improved by fusing data from appropriately selected set of sensors. The experimental results reveal that accurate vehicle detection can be achieved by using sets of passive sensors. Application of active sensors was necessary to obtain satisfactory results in case of pedestrian detection.

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“…Detecting presence of a person in the link's effective area is one of the outputs of DFL systems that can be utilized for occupancy assessment [24]. The systems proposed by Kosba et al [25] and Mrazovac et al [26] use a sequence of RSS measurements to make a decision. A recent work by Hillyard et al detects line crossings using different classification techniques [27].…”

Section: Related Workmentioning

confidence: 99%

Detector Based Radio Tomographic Imaging

Yi̇ği̇tler

Jäntti

Kaltiokallio

et al. 2018

IEEE Trans. on Mobile Comput.

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Received signal strength based radio tomographic imaging is a popular device-free indoor localization method which reconstructs the spatial loss field of the environment using measurements from a dense wireless network. Existing methods solve an associated inverse problem using algebraic or compressed sensing reconstruction algorithms. We propose an alternative imaging method that reconstructs spatial field of occupancy using a back-projection based reconstruction algorithm. The introduced system has the following advantages over the other imaging based methods: i.) significantly lower computational complexity such that no floating point multiplication is required; ii.) each link's measured data is compressed to a single bit, providing improved scalability; iii.) physically significant and repeatable parameters. The proposed method is validated using measurement data. Results show that the proposed method achieves the above advantages without loss of accuracy compared to the other available methods.

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Device‐free indoor human presence detection method based on the information entropy of RSSI variations

Cited by 19 publications

References 6 publications

A Smart Building Resource Prediction, Navigation and Management System Supported by Radio Tomography and Computational Intelligence

A Smart Building Resource Prediction, Navigation and Management System Supported by Radio Tomography and Computational Intelligence

A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring

Detector Based Radio Tomographic Imaging

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