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Wi-Fi Sensing: Applications and Challenges [article]

A. M. Khalili, Abdel-Hamid Soliman, Md Asaduzzaman, Alison Griffiths
2019 arXiv   pre-print
Wi-Fi technology has strong potentials in indoor and outdoor sensing applications, it has several important features which makes it an appealing option compared to other sensing technologies.  ...  This paper presents a survey on different applications of Wi-Fi based sensing systems such as elderly people monitoring, activity classification, gesture recognition, people counting, through the wall  ...  [20] conducted experiments in high clutter indoor environments using Wi-Fi signals, they were able to detect one moving person through a wall.  ... 
arXiv:1901.00715v4 fatcat:wduslo367za6fmfxklkl7z7ksu

The Evolution of Wi-Fi Technology in Human.pdf

Noha Mohamed
2021 figshare.com  
Human motion recognition is an important topic in computer vision as well as security. It is used in scientific research, surveillance cameras industry and robotics technology as well.  ...  More research related to Wi-Fi human related activity recognition can be encouraged and improved.  ...  It is tough to extract since it contains information about a person's identity, personality, and mental state.  ... 
doi:10.6084/m9.figshare.16668373.v1 fatcat:nl2y3c4lbvgsxbojcouavxdpuu

Wi-Fi Sensing: Applications and Challenges

Abdullah Khalili, Abdel-Hamid Soliman, Md Asaduzzaman, Alison Griffiths
2019 The Journal of Engineering  
Wi-Fi technology has strong potentials in indoor and outdoor sensing applications; it has several important features which makes it an appealing option compared to other sensing technologies.  ...  This study presents a survey on different applications of Wi-Fi-based sensing systems such as elderly people monitoring, activity classification, gesture recognition, people counting, through the wall  ...  Wi-Fi-based systems use the variations in the wireless channel to track people in a given environment.  ... 
doi:10.1049/joe.2019.0790 fatcat:i64h53lftfbyhgaooitbig5ag4

Literature review on wireless sensing-Wi-Fi signal-based recognition of human activities

Chao Wang, Siwen Chen, Yanwei Yang, Feng Hu, Fugang Liu, Jie Wu
2018 Tsinghua Science and Technology  
Wi-Fi signals will be modulated again by human actions when propagating indoors, carrying rich human body state information.  ...  Researchers mainly use channel state information or frequency modulated carrier wave in their current implementation schemes of wireless sensing technology, called "Walls have eyes", and these schemes  ...  There are two main kinds of current research focuses in the field: one focus is on using the Channel State Information (CSI) of Wi-Fi signals, using Orthogonal Frequency Division Multiplexing (OFDM) modulation  ... 
doi:10.26599/tst.2018.9010080 fatcat:yakxrrsamzdtvpl5iddjsovvme

Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey

Mohammed A. A. Al-qaness, Mohamed Abd Elaziz, Sunghwan Kim, Ahmed A. Ewees, Aaqif Afzaal Abbasi, Yousif A. Alhaj, Ammar Hawbani
2019 Sensors  
The main Wi-Fi sensing methods can be broadly categorized as Received Signal Strength Indicator (RSSI), Wi-Fi radar (by using Software Defined Radio (SDR)) and Channel State Information (CSI).  ...  The motion of an object in the test environment causes fluctuations and changes in the Wi-Fi signal reflections at the receiver, which result in variations in received signals.  ...  Channel State Information (CSI) CSI is considered the new trending metric in Wi-Fi-based sensing technology. Halperin et al.  ... 
doi:10.3390/s19153329 fatcat:u2aukowrxzbrja4rcwtbz6svi4

A dataset for Wi-Fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments

Baha' A. Alsaify, Mahmoud M. Almazari, Rami Alazrai, Mohammad I. Daoud
2020 Data in Brief  
To record the data, we used the channel state information (CSI) tool [1] to capture the exchanged Wi-Fi packets between a Wi-Fi transmitter and receiver.  ...  The aim of this paper is to present a dataset for Wi-Fi-based human activity recognition.  ...  Acknowledgments The authors would like to thank the subjects who have participated in the experiments performed to acquire the Wi-Fi data.  ... 
doi:10.1016/j.dib.2020.106534 pmid:33299909 pmcid:PMC7704290 fatcat:ozi77tjbfzgjzi7h4yyduhqo6a

Multi-Target Intense Human Motion Analysis and Detection Using Channel State Information

Jialin Liu, Lei Wang, Jian Fang, Linlin Guo, Bingxian Lu, Lei Shu
2018 Sensors  
We implemented the intense human motion detection system using single commercial Wi-Fi devices, and evaluated it in real indoor environments.  ...  In this paper, we propose a multi-target intense human motion detection scheme using commercial Wi-Fi infrastructures.  ...  Wi-Fi-Based Activity Recognition Wi-Fi has been widely used in indoor localization in the past decade [30] [31] [32] [33] [34] [35] [36] , and has been gradually used in activity and gesture recognition  ... 
doi:10.3390/s18103379 pmid:30308996 pmcid:PMC6210441 fatcat:abcpixb7hnfupndnpd5i4jc3oq

WiRIM: Resolution Improving Mechanism for Human Sensing With Commodity Wi-Fi

Xinbin Shen, Lingchao Guo, Zhaoming Lu, Xiangming Wen, Zhihong He
2019 IEEE Access  
Wi-Fi channel state information (CSI) in PHY layer can be obtained from commodity Wi-Fi devices.  ...  The growing physical (PHY) layer capabilities of Wi-Fi have made it possible to use Wi-Fi signals for both communication and human sensing.  ...  In an indoor multipath environment, a person's activities can be detected more accurately by using a finer PDP with a much higher time resolution.  ... 
doi:10.1109/access.2019.2954651 fatcat:ce5xkgq2ongllkslq5eeaxjhnq

Wi-Fi CSI based Behavior Recognition: From Signals, Actions to Activities [article]

Zhu Wang, Bin Guo, Zhiwen Yu, Xingshe Zhou
2017 arXiv   pre-print
Recent advances in the wireless technology (e.g., Wi-Fi Channel State Information, i.e., CSI) enable a new behavior recognition paradigm, which is able to recognize behaviors in a device-free and non-intrusive  ...  In this article, we first provide an overview of the basics of Wi-Fi CSI based behavior recognition.  ...  Acknowledgments This work was supported in part by the National Key R&D Program of China (No. 2016YFB1001401), the National Natural Science Foundation of China (No. 61332013, 61402369) , and the Natural  ... 
arXiv:1712.00146v1 fatcat:u6wonpymhzhizkjaa2gyk5qruy

Indoor Navigation Systems for Visually Impaired Persons: Mapping the Features of Existing Technologies to User Needs

Plikynas, Žvironas, Budrionis, Gudauskis
2020 Sensors  
VI persons need ETA for orientation and navigation in unfamiliar indoor environments with embedded features for the detection and recognition of obstacles (not only on the ground but also at head level  ...  This paper presents an evaluation and comparison of state-of-the-art indoor navigation solutions, and the research implications provide a summary of the critical observations, some insights, and directions  ...  In these cases, a smartphone was used as a data transmission channel for sending information to a personal computer.  ... 
doi:10.3390/s20030636 pmid:31979246 pmcid:PMC7038337 fatcat:vc6y7byrtzcmpcyf4wovs3telq

UWB Radio-Based Motion Detection System for Assisted Living

Klemen Bregar, Andrej Hrovat, Mihael Mohorčič
2021 Sensors  
Thus, we propose a new algorithm with an online adaptive motion detection threshold that makes use of channel impulse response (CIR) information of the IEEE 802.15.4 ultra-wideband (UWB) radio, which comprises  ...  However, as we show in this paper, RF links exhibit large variations depending on channel conditions in operating environment as well as the level and intensity of motion, limiting the performance of the  ...  Wang in [31] proposed joint activity and indoor localization framework using Wi-Fi CSI fingerprints and deep learning.  ... 
doi:10.3390/s21113631 pmid:34071115 fatcat:ty5ygry6andexlqyfbzy5dvhdy

The Promise of Radio Analytics: A Future Paradigm of Wireless Positioning, Tracking, and Sensing

Beibei Wang, Qinyi Xu, Chen Chen, Feng Zhang, K.J. Ray Liu
2018 IEEE Signal Processing Magazine  
This is because, when the bandwidth increases, one can see many more multipaths in a rich-scattering environment, such as indoors or in metropolitan areas, that can be treated as hundreds of virtual antennas  ...  In addition, human activities affect wireless signal propagation, so understanding and analyzing how these signals react to human activities can reveal rich information about the activities around us.  ...  However, locating a person in an indoor environment is quite challenging, because signals are attenuated by the numerous multipaths in the rich-scattering indoor environment.  ... 
doi:10.1109/msp.2018.2806300 fatcat:pffib6pqurgdhmtomgeiw6gomu

Wireless AI in Smart Car: How Smart a Car Can Be?

Qinyi Xu, Beibei Wang, Feng Zhang, Deepika Sai Regani, Fengyu Wang, K. J. Ray Liu
2020 IEEE Access  
Wi-Fi devices deployed in the car.  ...  The interior of an automobile can be viewed as a special indoor environment where most of the multipaths are restricted inside by the metal exterior.  ...  the environmental information around us [1] .  ... 
doi:10.1109/access.2020.2978531 fatcat:ntsivsnhangpbagrcbb36wnbsy

A Robust Sign Language Recognition System with Multiple Wi-Fi Devices

Jiacheng Shang, Jie Wu
2017 Proceedings of the Workshop on Mobility in the Evolving Internet Architecture - MobiArch '17  
The key intuition is that different hand and arm motions introduce different multi-path distortions in Wi-Fi signals and generate different unique patterns in the time-series of Channel State Information  ...  Different from existing Wi-Fi signal-based human activity recognition systems, WiSign uses 3 Wi-Fi devices to improve the recognition performance.  ...  The IWL5300 provides 802.11n channel state information in a format that reports the channel matrices for 30 subcarrier groups.  ... 
doi:10.1145/3097620.3097624 dblp:conf/sigcomm/ShangW17 fatcat:k357n7eb2jbdxp5hyowsyz2eau

Design of Software Defined Radios Based Platform for Activity Recognition

Muhammad Bilal Khan, Xiaodong Yang, Aifeng Ren, Mohammed Ali Mohammed Al-Hababi, Nan Zhao, Lei Guan, Dou Fan, Syed Aziz Shah
2019 IEEE Access  
The extensive experiments were performed in the laboratory environment by using two Universal Software Radio Peripheral (USRP) to extract the wireless channel state information (WCSI).  ...  The technologies, such as Wi-Fi, GSM, and radars, do not require installing cameras or wearable sensors for activity monitoring and recognition.  ...  For example, Wi-See uses USRP to measure the Doppler shift in wireless signals and attain an activity recognition accuracy up-to 95% [2] .  ... 
doi:10.1109/access.2019.2902267 fatcat:q4ioznefnrca5klxanxkugupum
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