Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning

Julio C.H. Soto; Iandra Galdino; Brenda G. Gouveia; Egberto Caballero; Vinicius Ferreira; Debora Muchaluat-Saade; Celio Albuquerque

doi:10.1109/LATINCOM56090.2022.10000702

Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning

Julio C.H. Soto
, Iandra Galdino
, Brenda G. Gouveia
, Egberto Caballero
, Vinicius Ferreira
, Debora Muchaluat-Saade
, Celio Albuquerque

Producción científica: Capítulo del libro/informe/acta de congreso › Articulo (Contribución a conferencia) › revisión exhaustiva

13 Citas (Scopus)

Resumen

With the development of smart devices, human detection and localization became important tasks for several applications including security, healthcare monitoring, entertainment, and so on. Existing signal-based detection systems, mostly focus on detecting human activities and classifying them by Machine Learning (ML) methods, like Support Vector Machine (SVM) and Random Forest (RF). This paper focuses on device-free presence detection. We propose a specific setup for collecting Wi-Fi based Channel State Information (CSI) data for detecting human presence. The proposal includes the application of Dynamic Time Warping (DTW) algorithm features to compare the differences between empty rooms and filled rooms. The proposed architecture and approach achieves competitive accuracy when compared to the existing technologies.

Idioma original	Inglés
Título de la publicación alojada	2022 IEEE Latin-American Conference on Communications, LATINCOM 2022
Editores	Igor M. Moraes, Miguel Elias M. Campista, Yacine Ghamri-Doudane, Costa Luis Henrique M. K. Costa, Marcelo G. Rubinstein
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781665482257
DOI	https://doi.org/10.1109/LATINCOM56090.2022.10000702
Estado	Publicada - 2022
Publicado de forma externa	Sí
Evento	14th IEEE Latin-American Conference on Communications, LATINCOM 2022 - Rio de Janeiro, Brasil Duración: 30 nov. 2022 → 2 dic. 2022

Serie de la publicación

Nombre	2022 IEEE Latin-American Conference on Communications, LATINCOM 2022

Conferencia

Conferencia	14th IEEE Latin-American Conference on Communications, LATINCOM 2022
País/Territorio	Brasil
Ciudad	Rio de Janeiro
Período	30/11/22 → 2/12/22

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar

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10.1109/LATINCOM56090.2022.10000702

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Soto, J. C. H., Galdino, I., Gouveia, B. G., Caballero, E., Ferreira, V., Muchaluat-Saade, D., & Albuquerque, C. (2022). Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning. En I. M. Moraes, M. E. M. Campista, Y. Ghamri-Doudane, C. Luis Henrique M. K. Costa, & M. G. Rubinstein (Eds.), 2022 IEEE Latin-American Conference on Communications, LATINCOM 2022 (2022 IEEE Latin-American Conference on Communications, LATINCOM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LATINCOM56090.2022.10000702

Soto, Julio C.H. ; Galdino, Iandra ; Gouveia, Brenda G. et al. / Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning. 2022 IEEE Latin-American Conference on Communications, LATINCOM 2022. editor / Igor M. Moraes ; Miguel Elias M. Campista ; Yacine Ghamri-Doudane ; Costa Luis Henrique M. K. Costa ; Marcelo G. Rubinstein. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Latin-American Conference on Communications, LATINCOM 2022).

@inproceedings{6b839430238c46d385f980e31ce346ce,

title = "Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning",

abstract = "With the development of smart devices, human detection and localization became important tasks for several applications including security, healthcare monitoring, entertainment, and so on. Existing signal-based detection systems, mostly focus on detecting human activities and classifying them by Machine Learning (ML) methods, like Support Vector Machine (SVM) and Random Forest (RF). This paper focuses on device-free presence detection. We propose a specific setup for collecting Wi-Fi based Channel State Information (CSI) data for detecting human presence. The proposal includes the application of Dynamic Time Warping (DTW) algorithm features to compare the differences between empty rooms and filled rooms. The proposed architecture and approach achieves competitive accuracy when compared to the existing technologies.",

keywords = "channel state information, DTW, Human presence detection, Machine Learning, Wi-Fi",

author = "Soto, \{Julio C.H.\} and Iandra Galdino and Gouveia, \{Brenda G.\} and Egberto Caballero and Vinicius Ferreira and Debora Muchaluat-Saade and Celio Albuquerque",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 14th IEEE Latin-American Conference on Communications, LATINCOM 2022 ; Conference date: 30-11-2022 Through 02-12-2022",

year = "2022",

doi = "10.1109/LATINCOM56090.2022.10000702",

language = "Ingl{\'e}s",

series = "2022 IEEE Latin-American Conference on Communications, LATINCOM 2022",

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

editor = "Moraes, \{Igor M.\} and Campista, \{Miguel Elias M.\} and Yacine Ghamri-Doudane and \{Luis Henrique M. K. Costa\}, Costa and Rubinstein, \{Marcelo G.\}",

booktitle = "2022 IEEE Latin-American Conference on Communications, LATINCOM 2022",

}

Soto, JCH, Galdino, I, Gouveia, BG, Caballero, E, Ferreira, V, Muchaluat-Saade, D & Albuquerque, C 2022, Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning. En IM Moraes, MEM Campista, Y Ghamri-Doudane, C Luis Henrique M. K. Costa & MG Rubinstein (eds.), 2022 IEEE Latin-American Conference on Communications, LATINCOM 2022. 2022 IEEE Latin-American Conference on Communications, LATINCOM 2022, Institute of Electrical and Electronics Engineers Inc., 14th IEEE Latin-American Conference on Communications, LATINCOM 2022, Rio de Janeiro, Brasil, 30/11/22. https://doi.org/10.1109/LATINCOM56090.2022.10000702

Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning. / Soto, Julio C.H.; Galdino, Iandra; Gouveia, Brenda G. et al.
2022 IEEE Latin-American Conference on Communications, LATINCOM 2022. ed. / Igor M. Moraes; Miguel Elias M. Campista; Yacine Ghamri-Doudane; Costa Luis Henrique M. K. Costa; Marcelo G. Rubinstein. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Latin-American Conference on Communications, LATINCOM 2022).

Producción científica: Capítulo del libro/informe/acta de congreso › Articulo (Contribución a conferencia) › revisión exhaustiva

TY - GEN

T1 - Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning

AU - Soto, Julio C.H.

AU - Galdino, Iandra

AU - Gouveia, Brenda G.

AU - Caballero, Egberto

AU - Ferreira, Vinicius

AU - Muchaluat-Saade, Debora

AU - Albuquerque, Celio

PY - 2022

Y1 - 2022

N2 - With the development of smart devices, human detection and localization became important tasks for several applications including security, healthcare monitoring, entertainment, and so on. Existing signal-based detection systems, mostly focus on detecting human activities and classifying them by Machine Learning (ML) methods, like Support Vector Machine (SVM) and Random Forest (RF). This paper focuses on device-free presence detection. We propose a specific setup for collecting Wi-Fi based Channel State Information (CSI) data for detecting human presence. The proposal includes the application of Dynamic Time Warping (DTW) algorithm features to compare the differences between empty rooms and filled rooms. The proposed architecture and approach achieves competitive accuracy when compared to the existing technologies.

AB - With the development of smart devices, human detection and localization became important tasks for several applications including security, healthcare monitoring, entertainment, and so on. Existing signal-based detection systems, mostly focus on detecting human activities and classifying them by Machine Learning (ML) methods, like Support Vector Machine (SVM) and Random Forest (RF). This paper focuses on device-free presence detection. We propose a specific setup for collecting Wi-Fi based Channel State Information (CSI) data for detecting human presence. The proposal includes the application of Dynamic Time Warping (DTW) algorithm features to compare the differences between empty rooms and filled rooms. The proposed architecture and approach achieves competitive accuracy when compared to the existing technologies.

KW - channel state information

KW - DTW

KW - Human presence detection

KW - Machine Learning

KW - Wi-Fi

UR - https://www.scopus.com/pages/publications/85146662980

U2 - 10.1109/LATINCOM56090.2022.10000702

DO - 10.1109/LATINCOM56090.2022.10000702

M3 - Articulo (Contribución a conferencia)

AN - SCOPUS:85146662980

T3 - 2022 IEEE Latin-American Conference on Communications, LATINCOM 2022

BT - 2022 IEEE Latin-American Conference on Communications, LATINCOM 2022

A2 - Moraes, Igor M.

A2 - Campista, Miguel Elias M.

A2 - Ghamri-Doudane, Yacine

A2 - Luis Henrique M. K. Costa, Costa

A2 - Rubinstein, Marcelo G.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th IEEE Latin-American Conference on Communications, LATINCOM 2022

Y2 - 30 November 2022 through 2 December 2022

ER -

Soto JCH, Galdino I, Gouveia BG, Caballero E, Ferreira V, Muchaluat-Saade D et al. Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning. En Moraes IM, Campista MEM, Ghamri-Doudane Y, Luis Henrique M. K. Costa C, Rubinstein MG, editores, 2022 IEEE Latin-American Conference on Communications, LATINCOM 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE Latin-American Conference on Communications, LATINCOM 2022). doi: 10.1109/LATINCOM56090.2022.10000702

Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning

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