Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals

Hira Hameed; Lubna; Muhammad Usman; Kamran Arshad; Amir Hussain; Khaled Assaleh; Muhammad Ali Imran; Qammer H. Abbasi

doi:10.1109/USNC-URSI52151.2023.10237903

Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals

Hira Hameed^*
, Lubna
, Muhammad Usman^*
, Kamran Arshad
, Amir Hussain
, Khaled Assaleh
, Muhammad Ali Imran^*
, Qammer H. Abbasi^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this article, Wi-Fi signals are used to find hearing-impaired people in a crowded environment with the help of different gestures namely 'empty, one-hand right, one-hand left, two-hand right, and two-hand left'. The existing system for recognizing hearing-impaired people is based on cameras. This has some drawbacks, such as poor photo quality at night, privacy concerns, and the high cost of putting these systems into everyday life. The data collected from the Wi-Fi is represented in the form of channel state information (CSI) values. Five activities were performed by the subject namely empty, one-hand right, one-hand left, two-hand right, and two-hand left. Support vector machine (SVM) (Linear SVM), Ensemble (Subspace discriminant), and neural network pattern recognition were performed on collected CSI values. The simulation results showed that 94.7% of classification accuracy was achieved by neural network pattern recognition while classifying gesture data.

Original language	English
Title of host publication	2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	279-280
Number of pages	2
ISBN (Electronic)	9781665442282
DOIs	https://doi.org/10.1109/USNC-URSI52151.2023.10237903
State	Published - 2023
Externally published	Yes
Event	2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Portland, United States Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Name	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume	2023-July
ISSN (Print)	1522-3965

Conference

Conference	2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023
Country/Territory	United States
City	Portland
Period	23/07/23 → 28/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Human gesture
Machine learning
RF sensing
Wi-Fi

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/USNC-URSI52151.2023.10237903

Cite this

Hameed, H., Lubna, Usman, M., Arshad, K., Hussain, A., Assaleh, K., Imran, M. A., & Abbasi, Q. H. (2023). Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals. In 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings (pp. 279-280). (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 2023-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USNC-URSI52151.2023.10237903

Hameed, Hira ; Lubna ; Usman, Muhammad et al. / Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals. 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 279-280 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)).

@inproceedings{02ffcb27a84142d58ce97c905e15f2a8,

title = "Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals",

abstract = "In this article, Wi-Fi signals are used to find hearing-impaired people in a crowded environment with the help of different gestures namely 'empty, one-hand right, one-hand left, two-hand right, and two-hand left'. The existing system for recognizing hearing-impaired people is based on cameras. This has some drawbacks, such as poor photo quality at night, privacy concerns, and the high cost of putting these systems into everyday life. The data collected from the Wi-Fi is represented in the form of channel state information (CSI) values. Five activities were performed by the subject namely empty, one-hand right, one-hand left, two-hand right, and two-hand left. Support vector machine (SVM) (Linear SVM), Ensemble (Subspace discriminant), and neural network pattern recognition were performed on collected CSI values. The simulation results showed that 94.7\% of classification accuracy was achieved by neural network pattern recognition while classifying gesture data.",

keywords = "Human gesture, Machine learning, RF sensing, Wi-Fi",

author = "Hira Hameed and Lubna and Muhammad Usman and Kamran Arshad and Amir Hussain and Khaled Assaleh and Imran, \{Muhammad Ali\} and Abbasi, \{Qammer H.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 ; Conference date: 23-07-2023 Through 28-07-2023",

year = "2023",

doi = "10.1109/USNC-URSI52151.2023.10237903",

language = "English",

series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "279--280",

booktitle = "2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings",

address = "United States",

}

Hameed, H, Lubna, Usman, M, Arshad, K, Hussain, A, Assaleh, K, Imran, MA & Abbasi, QH 2023, Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals. in 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), vol. 2023-July, Institute of Electrical and Electronics Engineers Inc., pp. 279-280, 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023, Portland, United States, 23/07/23. https://doi.org/10.1109/USNC-URSI52151.2023.10237903

Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals. / Hameed, Hira; Lubna; Usman, Muhammad et al.
2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 279-280 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals

AU - Hameed, Hira

AU - Lubna,

AU - Usman, Muhammad

AU - Arshad, Kamran

AU - Hussain, Amir

AU - Assaleh, Khaled

AU - Imran, Muhammad Ali

AU - Abbasi, Qammer H.

PY - 2023

Y1 - 2023

N2 - In this article, Wi-Fi signals are used to find hearing-impaired people in a crowded environment with the help of different gestures namely 'empty, one-hand right, one-hand left, two-hand right, and two-hand left'. The existing system for recognizing hearing-impaired people is based on cameras. This has some drawbacks, such as poor photo quality at night, privacy concerns, and the high cost of putting these systems into everyday life. The data collected from the Wi-Fi is represented in the form of channel state information (CSI) values. Five activities were performed by the subject namely empty, one-hand right, one-hand left, two-hand right, and two-hand left. Support vector machine (SVM) (Linear SVM), Ensemble (Subspace discriminant), and neural network pattern recognition were performed on collected CSI values. The simulation results showed that 94.7% of classification accuracy was achieved by neural network pattern recognition while classifying gesture data.

AB - In this article, Wi-Fi signals are used to find hearing-impaired people in a crowded environment with the help of different gestures namely 'empty, one-hand right, one-hand left, two-hand right, and two-hand left'. The existing system for recognizing hearing-impaired people is based on cameras. This has some drawbacks, such as poor photo quality at night, privacy concerns, and the high cost of putting these systems into everyday life. The data collected from the Wi-Fi is represented in the form of channel state information (CSI) values. Five activities were performed by the subject namely empty, one-hand right, one-hand left, two-hand right, and two-hand left. Support vector machine (SVM) (Linear SVM), Ensemble (Subspace discriminant), and neural network pattern recognition were performed on collected CSI values. The simulation results showed that 94.7% of classification accuracy was achieved by neural network pattern recognition while classifying gesture data.

KW - Human gesture

KW - Machine learning

KW - RF sensing

KW - Wi-Fi

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U2 - 10.1109/USNC-URSI52151.2023.10237903

DO - 10.1109/USNC-URSI52151.2023.10237903

M3 - Conference contribution

AN - SCOPUS:85172415815

T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

SP - 279

EP - 280

BT - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023

Y2 - 23 July 2023 through 28 July 2023

ER -

Hameed H, Lubna, Usman M, Arshad K, Hussain A, Assaleh K et al. Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals. In 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 279-280. (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). doi: 10.1109/USNC-URSI52151.2023.10237903

Identification of Hearing Impaired People in Crowded Environments Using Wi-Fi Signals

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this