short-paper

Indoor Navigation Guidance for Mobile Device

Authors:

iiWAS2018: Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services

Pages 345 - 349

https://doi.org/10.1145/3282373.3282412

Published: 19 November 2018 Publication History

Get Access

Abstract

Navigation is capable of showing the position and direction at the specified location. In this paper, we proposed an indoor navigation based on the user location to its desired destination. Indoors navigation first needs to determine the route that can be accessed inside the building. This guidance is made by cultivating the indoor trajectory route that utilizes the sensor technologies in mobile devices. The sensors to be used are pedometer and magnetometer. The experiment shows that the guidance gave the instructions to navigate from the start to the destination by following compass direction and footstep to take. The guidance instruction affected by three factors, there is user height, step calculation, and sensor threshold value. These three factors have different effects but interconnected with the application system and that which causes differences in the accuracy values obtained in the experiment.

References

[1]

Alamri, S., Taniar, D., Safar, M., and Al-Khalidi, H. Spatiotemporal indexing for moving objects in an indoor cellular space. Neurocomputing 122 (2013), 70--78.

Digital Library

Google Scholar

[2]

Alamri, S., Taniar, D., Safar, M., and Al-Khalidi, H. A connectivity index for moving objects in an indoor cellular space. Personal and Ubiquitous Computing 18, 2 (2014), 287--301.

Digital Library

Google Scholar

[3]

Andini, D., Suwawi, D. D. J., Adhinugraha, K. M., and Alamri, S. Adaptation of k-nearest neighbor queries for inter-building environment. In International Conference on Computational Science and Its Applications (2018), Springer, pp. 183--194.

Crossref

Google Scholar

[4]

Ashbrook, D., and Starner, T. Learning significant locations and predicting user movement with gps. In Wearable Computers, 2002.(ISWC 2002). Proceedings. Sixth International Symposium on (2002), IEEE, pp. 101--108.

Digital Library

Google Scholar

[5]

Boysen, M., de Haas, C., Lu, H., and Xie, X. A journey from ifc files to indoor navigation. In International Symposium on Web and Wireless Geographical Information Systems (2014), Springer, pp. 148--165.

Crossref

Google Scholar

[6]

Dionti, T. A., Adhinugraha, K. M., and Alamri, S. M. Inter-building routing approach for indoor environment. In International Conference on Computational Science and Its Applications (2017), Springer, pp. 247--260.

Crossref

Google Scholar

[7]

Grzechca, D., Wróbel, T., and Bielecki, P. Indoor localization of objects based on rssi and mems sensors. In Communications and Information Technologies (ISCIT), 2014 14th International Symposium on (2014), IEEE, pp. 143--146.

Crossref

Google Scholar

[8]

Han, L., Zhang, T., and Wang, Z. The design and development of indoor 3d routing system. JSW 9, 5 (2014), 1223--1228.

Crossref

Google Scholar

[9]

Panzieri, S., Pascucci, F., and Ulivi, G. An outdoor navigation system using gps and inertial platform. IEEE/ASME transactions on Mechatronics 7, 2 (2002), 134--142.

Google Scholar

[10]

Shao, Z., Cheema, M. A., Taniar, D., and Lu, H. Vip-tree: an effective index for indoor spatial queries. Proceedings of the VLDB Endowment 10, 4 (2016), 325--336.

Digital Library

Google Scholar

[11]

Titterton, D., Weston, J. L., and Weston, J. Strapdown inertial navigation technology, vol. 17. IET, 2004.

Google Scholar

[12]

Wing, M. G., Eklund, A., and Kellogg, L. D. Consumer-grade global positioning system (gps) accuracy and reliability. Journal of forestry 103, 4 (2005), 169--173.

Google Scholar

[13]

Zhang, D., Xia, F., Yang, Z., Yao, L., and Zhao, W. Localization technologies for indoor human tracking. In Future Information Technology (FutureTech), 2010 5th International Conference on (2010), IEEE, pp. 1--6.

Crossref

Google Scholar

Cited By

View all

Bibbò LBramanti ASharma JCotroneo F(2024)AR Platform for Indoor Navigation: New Potential Approach Extensible to Older People with Cognitive ImpairmentBioMedInformatics10.3390/biomedinformatics40300874:3(1589-1619)Online publication date: 24-Jun-2024
https://doi.org/10.3390/biomedinformatics4030087
Hirotsu THirota MAraki TEndo MIshikawa H(2019)Tourism application with CNN-Based Classification specialized for cultural informationProceedings of the 21st International Conference on Information Integration and Web-based Applications & Services10.1145/3366030.3366073(8-14)Online publication date: 2-Dec-2019
https://dl.acm.org/doi/10.1145/3366030.3366073
Ungureanu VTrutiu BSilea INegirla PZimbru CMiclea R(2019)Automatic Mapping of a Room Using LIDAR-Based Measuring Sensor2019 22nd International Conference on Control Systems and Computer Science (CSCS)10.1109/CSCS.2019.00123(689-695)Online publication date: May-2019
https://doi.org/10.1109/CSCS.2019.00123

Index Terms

Indoor Navigation Guidance for Mobile Device
1. Theory of computation
  1. Randomness, geometry and discrete structures
    1. Computational geometry

Recommendations

Seamless outdoor/indoor navigation with WIFI/GPS aided low cost Inertial Navigation System

This paper describes an integrated navigation system that can be used for pedestrian navigation in both outdoor and indoor environments. With the aid of Global Positioning System (GPS) positioning solutions, an Inertial Navigation System (INS) can ...
Equiangular navigation and guidance of a wheeled mobile robot based on range-only measurements

We consider the problems of a wheeled mobile robot navigation and guidance towards an unknown stationary or maneuvering target using range-only measurements. We propose and study several methods for navigation and guidance termed Equiangular Navigation ...
Indoor Tracking and Navigation Using Received Signal Strength and Compressive Sensing on a Mobile Device

An indoor tracking and navigation system based on measurements of received signal strength (RSS) in wireless local area network (WLAN) is proposed. In the system, the location determination problem is solved by first applying a proximity constraint to ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

iiWAS2018: Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services

November 2018

419 pages

ISBN:9781450364799

DOI:10.1145/3282373

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Johannes Kepler University, Linz, Austria
@WAS: International Organization of Information Integration and Web-based Applications and Services
Johannes Kepler University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 November 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper
Research
Refereed limited

Conference

iiWAS2018

iiWAS2018: 20th International Conference on Information Integration and Web-based Applications & Services

November 19 - 21, 2018

Yogyakarta, Indonesia

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
130
Total Downloads

Downloads (Last 12 months)15
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Bibbò LBramanti ASharma JCotroneo F(2024)AR Platform for Indoor Navigation: New Potential Approach Extensible to Older People with Cognitive ImpairmentBioMedInformatics10.3390/biomedinformatics40300874:3(1589-1619)Online publication date: 24-Jun-2024
https://doi.org/10.3390/biomedinformatics4030087
Hirotsu THirota MAraki TEndo MIshikawa H(2019)Tourism application with CNN-Based Classification specialized for cultural informationProceedings of the 21st International Conference on Information Integration and Web-based Applications & Services10.1145/3366030.3366073(8-14)Online publication date: 2-Dec-2019
https://dl.acm.org/doi/10.1145/3366030.3366073
Ungureanu VTrutiu BSilea INegirla PZimbru CMiclea R(2019)Automatic Mapping of a Room Using LIDAR-Based Measuring Sensor2019 22nd International Conference on Control Systems and Computer Science (CSCS)10.1109/CSCS.2019.00123(689-695)Online publication date: May-2019
https://doi.org/10.1109/CSCS.2019.00123

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Seamless outdoor/indoor navigation with WIFI/GPS aided low cost Inertial Navigation System

Equiangular navigation and guidance of a wheeled mobile robot based on range-only measurements

Indoor Tracking and Navigation Using Received Signal Strength and Compressive Sensing on a Mobile Device