A Low-Cost ZigBee-Based Gateway System for Indoor Localization and Identification of a Person

Guerra, Claudio; Montalto, Francesco; Bianchi, Valentina; Munari, Ilaria De; Ciampolini, Paolo

doi:10.1007/978-3-319-13105-4_28

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…In addition to Wi-Fi sensing technology, there are also other identity-recognition methods based on radio frequency technologies, such as RFnet [36] using RFID technology, BLE-DoorGuard [37] using Bluetooth technology, and ARDEA [38] using ZigBee technology. Wi-Fi signal, enjoying high signal penetration ability, wide coverage, and low deployment cost, has recently attracted extensive attention from both academia and industry, for realizing precise and reliable human identity recognition based on a large number of ready-to-use commercial Wi-Fi facilities being actively studied.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey on Wi-Fi Sensing for Human Identity Recognition

Duan,

Diao,

Cao

et al. 2023

Electronics

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In recent years, Wi-Fi sensing technology has become an emerging research direction of human–computer interaction due to its advantages of low cost, contactless, illumination insensitivity, and privacy preservation. At present, Wi-Fi sensing research has been expanded from target location to action recognition and identity recognition, among others. This paper summarizes and analyzes the research of Wi-Fi sensing technology in human identity recognition. Firstly, we overview the history of Wi-Fi sensing technology, compare it with traditional identity-recognition technologies and other wireless sensing technologies, and highlight its advantages for identity recognition. Secondly, we introduce the steps of the Wi-Fi sensing process in detail, including data acquisition, data pre-processing, feature extraction, and identity classification. After that, we review state-of-the-art approaches using Wi-Fi sensing for single- and multi-target identity recognition. In particular, three kinds of approaches (pattern-based, model-based, and deep learning-based) for single-target identity recognition and two kinds of approaches (direct recognition and separated recognition) for multi-target identity recognition are introduced and analyzed. Finally, future research directions are discussed, which include transfer learning, improved multi-target recognition, and unified dataset construction.

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Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey on Wi-Fi Sensing for Human Identity Recognition

Duan,

Diao,

Cao

et al. 2023

Electronics

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“…Such complex tasks can be achieved by integrating wearable solutions into smart environments or households, where stationary sensors are used along with wearable sensors and control system provides supervision and necessary actions. Moreover, by using appropriate algorithms and evaluation techniques, long-term data can be assessed by behavioral analysis and so contribute by prediction of possible threats [7]. General structure of described system is depicted on Fig.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Evaluation of Wearable Sensors for Homecare Systems

Karchňák¹,

Šimšík²,

Jobbágy³

et al. 2015

Acta Mechanica Slov.

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Wearable sensors are emerging trend and can be found in various application areas, including healthcare and home care, where they can provide important information about wellbeing, condition and activities of user and his/her behavior. Long-term data analysis can contribute by identification or even prediction of possible diagnosis or threat and for such reason, walking speed and hip extension angle can be useful tools for long-term based behavioral analysis. This article deals with evaluation of method for walking speed estimation and assessment of feasibility of accelerometer for hip extension angle monitoring. While proposed method for walking speed estimation has some limitations, it tends to be reliable. On the other hand, accelerometer for observing hip extension angle is not suitable due to the fact that when it is subject of translational movement, random error it introduced into measurement.

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“…Complex tasks as has been described can be achieved by integration of wearable sensors into smart environments, where stationary ambient sensors are used along with wearable sensors and control system provides supervision and makes decisions when to make necessary actions. What is more, appropriate algorithms and assessment techniques along with long-term data can be evaluated by behavioral analysis and thus contribute by prediction of possible threats [7]. General structure of described system is shown on Fig.…”

Section: Introductionmentioning

confidence: 99%

Use of MEMS Sensors in Walking Speed Monitoring for Purposes of Behavioral Analysis

Karchňák

Šimšík

Galajdová

et al. 2015

JERA

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Wearable sensors are bringing innovative approach in research of smart environments, tele-monitoring and home care services. Average walking speed is one of the suitable indicators of state, condition and activities of patient along with observing of hip extension angle. The proposed article is aimed on study of accelerometer usability for monitoring of such parameters from view of long-term perspective. The article is divided into the following sections: the first section describes analysis of current state-of-art and motivation for such research, the second section is devoted to description of sensors and methodology of experimental verification and methods of data processing and the last section deals with data evaluation.

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A Low-Cost ZigBee-Based Gateway System for Indoor Localization and Identification of a Person

Cited by 5 publications

References 7 publications

A Comprehensive Survey on Wi-Fi Sensing for Human Identity Recognition

A Comprehensive Survey on Wi-Fi Sensing for Human Identity Recognition

Feasibility Evaluation of Wearable Sensors for Homecare Systems

Use of MEMS Sensors in Walking Speed Monitoring for Purposes of Behavioral Analysis

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