Indoor Navigation System: An Application on Android Devices

Authors

  • Mingmanas Sivaraksa Computer Engineering, Mahidol University Phuttamonton, Nakorn Pathom, Thailand
  • Varit Prudtipongpun Computer Engineering, Mahidol University Phuttamonton, Nakorn Pathom, Thailand
  • Wirawan Buakeaw Computer Engineering, Mahidol University Phuttamonton, Nakorn Pathom, Thailand
  • Thorntita Rattanapongsen Computer Engineering, Mahidol University Phuttamonton, Nakorn Pathom, Thailand

Keywords:

Application on Android, Indoor navigator, Vision disability individual, Indoor atlas, Voice command

Abstract

Visiting new building without knowing the location well can be very difficult to navigate from one room to the others. Currently, navigation system has been extensively developed for outdoor navigation, such as Google Maps, however not enough has been done for navigation indoor and still needs further development. This research uses magnetic fingerprint inside the building obtained by magnetic sensors embedded in most smart phones to identify the indoor location. The application can also be applied for visually impaired people to navigate freely inside the building without extra assistant. Smart devices are now becoming popular in the visually impaired people with the special mode of to read the screen out for those in need. The application has been tested by both people with normal eye sight and with those with visually impaired individual. As a prototype the application has been shown to be able to navigate successfully on an example floor of a certain building.

References

Y. Chen and H. Kobayashi, “Signal strength based indoor geolocation,” in Proceedings of the IEEE International Conference on Communications (ICC ’02), vol. 1, pp. 436–439, New York, NY, USA, April–May 2002.

S. Chumkamon , P. Tuvaphanthaphiphat and P. Keeratiwintakorn "A blind navigation system using RFID for indoor environments", Proc. 5th Int. Conf. Electr. Eng./Electron. Comput. Telecommun. Inf. Technol., vol. 2, pp.765 -768 2008

J. Chen , Z. Li , M. Dong and X. Wang "Blind path identification system design base on RFID", Proc. Int. Conf. Electr. Control Eng., pp.548 -551 2010

Indooratlas.com, (2015). IndoorAtlas. [online] Available at: https://www.indooratlas.com/ [Accessed 29 Nov. 2014].

H.C. Thomas, C. E. Leiserson, L.R. and C. Stein, (2001) "Section 24.3: Dijkstra's algorithm". Introduction to Algorithms (Second ed.). MIT Press and McGraw–Hill. pp. 595–601. ISBN 0-262-03293-7.

Wikipedia, (2015). Dijkstra's algorithm. [online] Available at: https://en.wikipedia.org/wiki/Dijkstras_algorithm [Accessed 17 Sep. 2015].

Google Developers, (2015). Overview of the Voice Interaction API. [online] Available at: https://developers.google.com/voice-actions/interaction [Accessed 17 Sep. 2015].

Downloads

Published

2017-04-12

How to Cite

1.
Sivaraksa M, Prudtipongpun V, Buakeaw W, Rattanapongsen T. Indoor Navigation System: An Application on Android Devices. j.intell.inform. [Internet]. 2017 Apr. 12 [cited 2024 Oct. 5];1(April). Available from: https://ph05.tci-thaijo.org/index.php/JIIST/article/view/127