Skip to main content

Location Based Personal Task Reminder System Using GPS Technology

  • Conference paper
  • First Online:
Big Data Analysis and Deep Learning Applications (ICBDL 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 744))

  • 2135 Accesses

Abstract

Most of the reminders in mobile phones are purely time specific i.e. this will provide alarm only on that particular time. Some tasks are only meaningful to be performed at a specific location. So, this location-based task reminder system is developed. It reminds the user about the location when he/she enters within alert range of the predefined location. All the user need to have is the android mobile phone. The main objective of the research is to develop a GPS (Global Positioning System) based application to handle the following requirements: to provide the alarm to the user when he/she reaches near the preselected destination, to retrieve the users’ current location geographical coordinates, to allow the users to create the reminder for their target location and save that reminder to the list, to allow the users to delete and edit their reminders in list. Based on the saved location, the alarm will ring automatically and the reminding task detail will display when the user reaches within the target location. The distance between the user current position and the destination can get by using Haversine Formula. This location-based reminder system will act as an assistance for frequent travelers to visit new places with the help of LBS (Location Based Services).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Angadi, A.B., Shetti, N.V.: Friendly mobiminder-reminder based on user’s location using GPS. IJETAE 3(1), 269 (2013). ISSN: 2250-2459

    Google Scholar 

  2. Hedin, B., Norén, J.: Mobile location based learning reminders using GSM cell identification. IADIS 7(1), 166–176

    Google Scholar 

  3. Ludford, J., et al.: Because I carry my cell phone anyway: functional location-based reminder applications. In: Proceedings of the SIGCHI conference on Human Factors in computing systems, Montreal, Canada, pp. 889–898 (2006)

    Google Scholar 

  4. Marmasse, N., Schmandt, C.: Location-Aware Information Delivery with Commotion, Lecture (2003)

    Google Scholar 

  5. Yeram, S., Patil, P., Gupta, D., Mule, K., Kulkarni, M.: Reminder Based on User’s Location using Android Smart Phones [RBUOID] (An android application). IJSRCSEIT 2(2), 119 (2017). ISSN: 2456-3307

    Google Scholar 

  6. Sohn, T., Li, K.A., Lee, G., Smith, I., Scott, J., Griswold, W.G.: Place-Its: a study of location-based reminders on mobile phones. In: Beigl, M., Intille, S., Rekimoto, J., Tokuda, H. (eds) UbiComp 2005: Ubiquitous Computing. Lecture Notes in Computer Science, vol. 3660. Springer, Heidelberg (2005). https://doi.org/10.1007/11551201_14

    Google Scholar 

  7. Zeimpekis, V., Giaglis, G., Lekakos, G.: A taxonomy of indoor and outdoor positioning techniques for mobile location services. SIGecom Exch. 3(4), 19–27 (2002)

    Article  Google Scholar 

  8. https://www.distancecalculator.net/country/myanmar

  9. http://www.gpsvisualizer.com/calculators#distance_address

  10. http://www.movabletype.co.uk/scripts/latlong-vincenty.html

  11. https://whatis.techtarget.com/definition/GPS-navigation-system

Download references

Acknowledgments

Firstly, I would like to thankful to Dr. Aung Win, Rector, University of Technology (Yatanarpon Cyber City), for his supporting to develop this system successfully. Secondly, I would like to appreciate Dr. Soe Soe Khaing, Pro-Rector, Leader of Research Development Team for Domestic Pick and Place Robotic Arm Control System, University of Technology (Yatanarpon Cyber City), for her vision, chosen, giving valuable advices and guidance for preparation of this article. And then, I wish to express my deepest gratitude to my teacher Dr. Hninn Aye Thant, Professor, Department of Information Science and Technology, University of Technology (Yatanarpon Cyber City), for her advice. I am also grateful to Dr. Aye Mon Yi, Associate Professor, University of Technology (Yatanarpon Cyber City), for giving us valuable advices. Last but not least, many thanks are extended to all persons who directly and indirectly contributed towards the success of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thwet Hmue Nyein .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nyein, T.H., Yi, A.M. (2019). Location Based Personal Task Reminder System Using GPS Technology. In: Zin, T., Lin, JW. (eds) Big Data Analysis and Deep Learning Applications. ICBDL 2018. Advances in Intelligent Systems and Computing, vol 744. Springer, Singapore. https://doi.org/10.1007/978-981-13-0869-7_25

Download citation

Publish with us

Policies and ethics