Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0

Inoj Neupane; Belal Alsinglawi; Khaled Rabie

doi:10.1109/PerComWorkshops56833.2023.10150346

Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0

Inoj Neupane
, Belal Alsinglawi
, Khaled Rabie

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

5 Scopus citations

Abstract

Humans and robots working together in an environment to enhance human performance is the aim of Industry 5.0. Although significant progress in outdoor positioning has been seen, indoor positioning remains a challenge. In this paper, we introduce a new research concept by exploiting the potential of indoor positioning for Industry 5.0. We use Wi-Fi Received Signal Strength Indicator (RSSI) with trilateration using cheap and easily available ESP32 Arduino boards for positioning as well as sending effective route signals to a human and a robot working in a simulated-indoor factory environment in real-time. We utilized machine learning models to detect safe closeness between two co-workers (a human subject and a robot). Experimental data and analysis show an average deviation of less than 1m from the actual distance while the targets are mobile or stationary.

Original language	English
Title of host publication	Proceedings - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	359-362
Number of pages	4
ISBN (Electronic)	9781665453813
DOIs	https://doi.org/10.1109/PerComWorkshops56833.2023.10150346
State	Published - 2023
Externally published	Yes
Event	21st IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023 - Atlanta, United States Duration: 13 Mar 2023 → 17 Mar 2023

Publication series

Name	2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

Conference

Conference	21st IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023
Country/Territory	United States
City	Atlanta
Period	13/03/23 → 17/03/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Indoor Positioning System
Industry 5.0
Internet of Things
Machine Learning
Wi-Fi

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management
Health Informatics
Psychology (miscellaneous)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PerComWorkshops56833.2023.10150346

Cite this

Neupane, I., Alsinglawi, B., & Rabie, K. (2023). Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0. In Proceedings - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023 (pp. 359-362). (2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PerComWorkshops56833.2023.10150346

Neupane, Inoj ; Alsinglawi, Belal ; Rabie, Khaled. / Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0. Proceedings - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 359-362 (2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023).

@inproceedings{486059f9454245de8751d9acfc938ebe,

title = "Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0",

abstract = "Humans and robots working together in an environment to enhance human performance is the aim of Industry 5.0. Although significant progress in outdoor positioning has been seen, indoor positioning remains a challenge. In this paper, we introduce a new research concept by exploiting the potential of indoor positioning for Industry 5.0. We use Wi-Fi Received Signal Strength Indicator (RSSI) with trilateration using cheap and easily available ESP32 Arduino boards for positioning as well as sending effective route signals to a human and a robot working in a simulated-indoor factory environment in real-time. We utilized machine learning models to detect safe closeness between two co-workers (a human subject and a robot). Experimental data and analysis show an average deviation of less than 1m from the actual distance while the targets are mobile or stationary.",

keywords = "Indoor Positioning System, Industry 5.0, Internet of Things, Machine Learning, Wi-Fi",

author = "Inoj Neupane and Belal Alsinglawi and Khaled Rabie",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 21st IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023 ; Conference date: 13-03-2023 Through 17-03-2023",

year = "2023",

doi = "10.1109/PerComWorkshops56833.2023.10150346",

language = "English",

series = "2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023",

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

pages = "359--362",

booktitle = "Proceedings - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023",

address = "United States",

}

Neupane, I, Alsinglawi, B & Rabie, K 2023, Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0. in Proceedings - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023. 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023, Institute of Electrical and Electronics Engineers Inc., pp. 359-362, 21st IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023, Atlanta, United States, 13/03/23. https://doi.org/10.1109/PerComWorkshops56833.2023.10150346

Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0. / Neupane, Inoj; Alsinglawi, Belal; Rabie, Khaled.
Proceedings - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 359-362 (2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023).

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

TY - GEN

T1 - Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0

AU - Neupane, Inoj

AU - Alsinglawi, Belal

AU - Rabie, Khaled

PY - 2023

Y1 - 2023

N2 - Humans and robots working together in an environment to enhance human performance is the aim of Industry 5.0. Although significant progress in outdoor positioning has been seen, indoor positioning remains a challenge. In this paper, we introduce a new research concept by exploiting the potential of indoor positioning for Industry 5.0. We use Wi-Fi Received Signal Strength Indicator (RSSI) with trilateration using cheap and easily available ESP32 Arduino boards for positioning as well as sending effective route signals to a human and a robot working in a simulated-indoor factory environment in real-time. We utilized machine learning models to detect safe closeness between two co-workers (a human subject and a robot). Experimental data and analysis show an average deviation of less than 1m from the actual distance while the targets are mobile or stationary.

AB - Humans and robots working together in an environment to enhance human performance is the aim of Industry 5.0. Although significant progress in outdoor positioning has been seen, indoor positioning remains a challenge. In this paper, we introduce a new research concept by exploiting the potential of indoor positioning for Industry 5.0. We use Wi-Fi Received Signal Strength Indicator (RSSI) with trilateration using cheap and easily available ESP32 Arduino boards for positioning as well as sending effective route signals to a human and a robot working in a simulated-indoor factory environment in real-time. We utilized machine learning models to detect safe closeness between two co-workers (a human subject and a robot). Experimental data and analysis show an average deviation of less than 1m from the actual distance while the targets are mobile or stationary.

KW - Indoor Positioning System

KW - Industry 5.0

KW - Internet of Things

KW - Machine Learning

KW - Wi-Fi

UR - https://www.scopus.com/pages/publications/85164139446

U2 - 10.1109/PerComWorkshops56833.2023.10150346

DO - 10.1109/PerComWorkshops56833.2023.10150346

M3 - Conference contribution

AN - SCOPUS:85164139446

T3 - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

SP - 359

EP - 362

BT - Proceedings - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

Y2 - 13 March 2023 through 17 March 2023

ER -

Neupane I, Alsinglawi B, Rabie K. Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0. In Proceedings - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 359-362. (2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023). doi: 10.1109/PerComWorkshops56833.2023.10150346

Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this