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Indoor pedestrian navigation system using a modern smartphone

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MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

Pages 397 - 398

https://doi.org/10.1145/1851600.1851683

Published: 07 September 2010 Publication History

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Abstract

In this work we present a pedestrian navigation system for indoor environments based on the dead reckoning positioning method, 2D barcodes, and data from accelerometers and magnetometers. All the sensing and computing technologies of our solution are available in common smart phones. The need to create indoor navigation systems arises from the inaccessibility of the classic navigation systems, such as GPS, in indoor environments.

References

[1]

Kougori, M. and Kurata, T. 2003. Personal Positioning based on walking locomotion Analysis with self-contained sensor and a wearable camera. In Proceedings of ISMAR2003, 103--112

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[2]

Krach, B. and Robertson, P. 2008. Integration of Foot-Mounted Inertial Sensors into a Bayesian Location Estimation Framework. In Proceedings of 5th Workshop on Positioning, Navigation and Communication 2008 (WPNC 2008), Hannover, Germany.

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[3]

Woodman, O. and Harle, R. 2008. Pedestrian Localisation for Indoor Environments. In Proceedings of the 10th International Conference on Ubiquitous Computing (UbiComp), Seoul, Korea, ACM 2008, 114--123

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Benabid Najjar ARashed Al-Issa AHosny M(2022)Dynamic indoor path planning for the visually impairedJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.03.00434:9(7014-7024)Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1016/j.jksuci.2022.03.004
Marsic VKampert EHiggins M(2021)Position Discrimination of a 2.4 GHz IEEE 802.15.4 RF Mobile Source Inside-Outside a Vehicle2021 International Conference on Smart Applications, Communications and Networking (SmartNets)10.1109/SmartNets50376.2021.9555414(1-6)Online publication date: 22-Sep-2021
https://doi.org/10.1109/SmartNets50376.2021.9555414
Marzullo GJo KCaceres D(2021)Vision-based Assistive Navigation Algorithm for Blind and Visually Impaired People Using Monocular Camera2021 IEEE/SICE International Symposium on System Integration (SII)10.1109/IEEECONF49454.2021.9382783(640-645)Online publication date: 11-Jan-2021
https://doi.org/10.1109/IEEECONF49454.2021.9382783
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Index Terms

Indoor pedestrian navigation system using a modern smartphone
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Hypertext / hypermedia
  2. Visualization
    1. Visualization techniques

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Published In

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

September 2010

552 pages

ISBN:9781605588353

DOI:10.1145/1851600

General Chairs:
Marco de Sá
LaSIGE & University of Lisboa, Portugal
,
Luís Carriço
LaSIGE & University of Lisboa, Portugal
,
Program Chair:
Nuno Correia
CITI & New University of Lisboa, Portugal

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2010

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MobileHCI '10

MobileHCI '10: 12th International Conference on Human Computer Interaction with Mobile Devices and Services

September 7 - 10, 2010

Lisbon, Portugal

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MobileHCI '10 Paper Acceptance Rate 46 of 225 submissions, 20%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Benabid Najjar ARashed Al-Issa AHosny M(2022)Dynamic indoor path planning for the visually impairedJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.03.00434:9(7014-7024)Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1016/j.jksuci.2022.03.004
Marsic VKampert EHiggins M(2021)Position Discrimination of a 2.4 GHz IEEE 802.15.4 RF Mobile Source Inside-Outside a Vehicle2021 International Conference on Smart Applications, Communications and Networking (SmartNets)10.1109/SmartNets50376.2021.9555414(1-6)Online publication date: 22-Sep-2021
https://doi.org/10.1109/SmartNets50376.2021.9555414
Marzullo GJo KCaceres D(2021)Vision-based Assistive Navigation Algorithm for Blind and Visually Impaired People Using Monocular Camera2021 IEEE/SICE International Symposium on System Integration (SII)10.1109/IEEECONF49454.2021.9382783(640-645)Online publication date: 11-Jan-2021
https://doi.org/10.1109/IEEECONF49454.2021.9382783
Dasler PMalik SMauriello M(2021)“Just Follow the Lights”International Journal of Human-Computer Studies10.1016/j.ijhcs.2021.102692155:COnline publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1016/j.ijhcs.2021.102692
Öksüz EArslan Dinçay DCordan ÖYurdakul Toker ÇSemizoğlu S(2021)A Transdisciplinary Approach to Accessibility for Novice Designers’ Education of Inclusive DesignGame + Design Education10.1007/978-3-030-65060-5_5(65-73)Online publication date: 20-Jul-2021
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Thannon AMahmood SAhmed F(2020)Using Rational Unified Process in Indoor Navigation application for Android Smart Phones2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE)10.1109/ISCAIE47305.2020.9108843(245-250)Online publication date: Apr-2020
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Yu YWaltereit MMatkovic VHou WWeis T(2020)Deep Learning-Based Vibration Signal Personnel Positioning SystemIEEE Access10.1109/ACCESS.2020.30444978(226108-226118)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3044497
Lee YMyung H(2019)Indoor Localization Method based on Sequential Motion Tracking Using Topological Path MapIEEE Access10.1109/ACCESS.2019.2909309(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2909309
Woolman T(2018)Trends in Wearable Technologies for Earth ScienceWearable Technologies10.4018/978-1-5225-5484-4.ch061(1339-1360)Online publication date: 2018
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Madrigal GBoncolmo MDelos Santos MOrtiz SSantos FVenezuela DVelasco J(2018)Voice Controlled Navigational Aid With RFID-based Indoor Positioning System for the Visually Impaired2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)10.1109/HNICEM.2018.8666270(1-5)Online publication date: Nov-2018
https://doi.org/10.1109/HNICEM.2018.8666270
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Recommendations

Ultrasound-aided pedestrian dead reckoning for indoor navigation

MEMS IMU Based Pedestrian Indoor Navigation for Smart Glass

Pedestrian Navigation Based on Inertial Sensors, Indoor Map, and WLAN Signals

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