An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint

Lalita Narupiyakul; Snit Sanghlao; Boonsit Yimwadsana

doi:10.1007/978-3-319-94523-1_20

An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint

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

7 Citations (Scopus)

Abstract

Indoor positioning and navigation have recently gained a significant increase in interest in academia due to the proliferation of smart phones, mobile devices and network services in buildings. Various techniques were introduced to achieve high performance of indoor positioning and navigation. In addition, the inventions of creative location-based service applications for mobile and Internet of Things devices for business purpose have helped push the demand for indoor positioning and navigation system to an unprecedented level. However, currently, unlike outdoor positioning system which commonly uses GPS, there is no de facto standard for indoor positioning technique and technology. Furthermore, even though there are already a number of various location-based service applications, a few of them target visually impaired users who would gain significant benefits from this technology. We propose our indoor navigation system based on RSS lateration and RF Fingerprint using Wi-Fi and Bluetooth Low Energy. The user interface is tailor-made to be suitable to the visually impaired.

Original language	English
Title of host publication	Smart Homes and Health Telematics, Designing a Better Future
Subtitle of host publication	Urban Assisted Living - 16th International Conference, ICOST 2018, Proceedings
Editors	Bessam Abdulrazak, Mounir Mokhtari, Hamdi Aloulou
Publisher	Springer Verlag
Pages	225-235
Number of pages	11
ISBN (Print)	9783319945224
DOIs	https://doi.org/10.1007/978-3-319-94523-1_20
Publication status	Published - 2018
Event	16th International Conference on Smart homes, Assistive Technologies and Health Telematics, ICOST 2018 - Singapore, Singapore Duration: 10 Jul 2018 → 12 Jul 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10898 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Smart homes, Assistive Technologies and Health Telematics, ICOST 2018
Country/Territory	Singapore
City	Singapore
Period	10/07/18 → 12/07/18

Keywords

Indoor location-based positioning
Navigation
RF fingerprint
RSS lateration
Visually impaired

Access to Document

10.1007/978-3-319-94523-1_20

Cite this

Narupiyakul, L., Sanghlao, S., & Yimwadsana, B. (2018). An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint. In B. Abdulrazak, M. Mokhtari, & H. Aloulou (Eds.), Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living - 16th International Conference, ICOST 2018, Proceedings (pp. 225-235). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10898 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-94523-1_20

Narupiyakul, Lalita ; Sanghlao, Snit ; Yimwadsana, Boonsit. / An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint. Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living - 16th International Conference, ICOST 2018, Proceedings. editor / Bessam Abdulrazak ; Mounir Mokhtari ; Hamdi Aloulou. Springer Verlag, 2018. pp. 225-235 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8afb3f5dc5a14484a46114a48b69f7e9,

title = "An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint",

abstract = "Indoor positioning and navigation have recently gained a significant increase in interest in academia due to the proliferation of smart phones, mobile devices and network services in buildings. Various techniques were introduced to achieve high performance of indoor positioning and navigation. In addition, the inventions of creative location-based service applications for mobile and Internet of Things devices for business purpose have helped push the demand for indoor positioning and navigation system to an unprecedented level. However, currently, unlike outdoor positioning system which commonly uses GPS, there is no de facto standard for indoor positioning technique and technology. Furthermore, even though there are already a number of various location-based service applications, a few of them target visually impaired users who would gain significant benefits from this technology. We propose our indoor navigation system based on RSS lateration and RF Fingerprint using Wi-Fi and Bluetooth Low Energy. The user interface is tailor-made to be suitable to the visually impaired.",

keywords = "Indoor location-based positioning, Navigation, RF fingerprint, RSS lateration, Visually impaired",

author = "Lalita Narupiyakul and Snit Sanghlao and Boonsit Yimwadsana",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 16th International Conference on Smart homes, Assistive Technologies and Health Telematics, ICOST 2018 ; Conference date: 10-07-2018 Through 12-07-2018",

year = "2018",

doi = "10.1007/978-3-319-94523-1\_20",

language = "English",

isbn = "9783319945224",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "225--235",

editor = "Bessam Abdulrazak and Mounir Mokhtari and Hamdi Aloulou",

booktitle = "Smart Homes and Health Telematics, Designing a Better Future",

}

Narupiyakul, L , Sanghlao, S & Yimwadsana, B 2018, An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint. in B Abdulrazak, M Mokhtari & H Aloulou (eds), Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living - 16th International Conference, ICOST 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10898 LNCS, Springer Verlag, pp. 225-235, 16th International Conference on Smart homes, Assistive Technologies and Health Telematics, ICOST 2018, Singapore, Singapore, 10/07/18. https://doi.org/10.1007/978-3-319-94523-1_20

An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint. / Narupiyakul, Lalita ; Sanghlao, Snit ; Yimwadsana, Boonsit.
Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living - 16th International Conference, ICOST 2018, Proceedings. ed. / Bessam Abdulrazak; Mounir Mokhtari; Hamdi Aloulou. Springer Verlag, 2018. p. 225-235 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10898 LNCS).

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

TY - GEN

T1 - An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint

AU - Narupiyakul, Lalita

AU - Sanghlao, Snit

AU - Yimwadsana, Boonsit

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

Y1 - 2018

N2 - Indoor positioning and navigation have recently gained a significant increase in interest in academia due to the proliferation of smart phones, mobile devices and network services in buildings. Various techniques were introduced to achieve high performance of indoor positioning and navigation. In addition, the inventions of creative location-based service applications for mobile and Internet of Things devices for business purpose have helped push the demand for indoor positioning and navigation system to an unprecedented level. However, currently, unlike outdoor positioning system which commonly uses GPS, there is no de facto standard for indoor positioning technique and technology. Furthermore, even though there are already a number of various location-based service applications, a few of them target visually impaired users who would gain significant benefits from this technology. We propose our indoor navigation system based on RSS lateration and RF Fingerprint using Wi-Fi and Bluetooth Low Energy. The user interface is tailor-made to be suitable to the visually impaired.

AB - Indoor positioning and navigation have recently gained a significant increase in interest in academia due to the proliferation of smart phones, mobile devices and network services in buildings. Various techniques were introduced to achieve high performance of indoor positioning and navigation. In addition, the inventions of creative location-based service applications for mobile and Internet of Things devices for business purpose have helped push the demand for indoor positioning and navigation system to an unprecedented level. However, currently, unlike outdoor positioning system which commonly uses GPS, there is no de facto standard for indoor positioning technique and technology. Furthermore, even though there are already a number of various location-based service applications, a few of them target visually impaired users who would gain significant benefits from this technology. We propose our indoor navigation system based on RSS lateration and RF Fingerprint using Wi-Fi and Bluetooth Low Energy. The user interface is tailor-made to be suitable to the visually impaired.

KW - Indoor location-based positioning

KW - Navigation

KW - RF fingerprint

KW - RSS lateration

KW - Visually impaired

UR - https://www.scopus.com/pages/publications/85049976908

U2 - 10.1007/978-3-319-94523-1_20

DO - 10.1007/978-3-319-94523-1_20

M3 - Conference contribution

AN - SCOPUS:85049976908

SN - 9783319945224

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 225

EP - 235

BT - Smart Homes and Health Telematics, Designing a Better Future

A2 - Abdulrazak, Bessam

A2 - Mokhtari, Mounir

A2 - Aloulou, Hamdi

PB - Springer Verlag

T2 - 16th International Conference on Smart homes, Assistive Technologies and Health Telematics, ICOST 2018

Y2 - 10 July 2018 through 12 July 2018

ER -

Narupiyakul L , Sanghlao S , Yimwadsana B. An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint. In Abdulrazak B, Mokhtari M, Aloulou H, editors, Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living - 16th International Conference, ICOST 2018, Proceedings. Springer Verlag. 2018. p. 225-235. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-94523-1_20

An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this