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Mobile Networks and Applications

, Volume 24, Issue 1, pp 171–183 | Cite as

SMinder: Detect a Left-behind Phone using Sensor-based Context Awareness

  • Haibo YeEmail author
  • Kai Dong
  • Tao Gu
  • Zhiqiu Huang
Article

Abstract

Forget your smartphone in the car again? This happens often in our daily lives, sometimes even makes troubles. In this paper, we present SMinder, an effective, low power approach to remind user take the phone when getting off the car. Based on the context awareness techniques in mobile sensing, we detect the situation of forgetting to take the phone when getting off the car. SMinder requires neither any infrastructure nor any human intervention. It only uses low power smartphone sensors. Namely, the smartphone detects by itself whether it is left behind and remind the user before he leaves the car. SMinder reminds the user with high accuracy and minimum energy consumption, making it realistic for real-world use. Compared to the existing approaches, SMinder is cheaper and easier to use. Our experiments with the prototype system demonstrate the performance, scalability, and robustness of SMinder.

Keywords

Smartphone sensing Left-behind phone Context detection Context inferring 

Notes

Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant No.61702261, the China Postdoctoral Science Foundation under Grant No.2017M621742, and the Foundation of State Key Laboratory of Novel Software Technology under Grant No.KFKT2017B15.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjingPeople’s Republic of China
  2. 2.School of Computer Science and EngineeringSoutheast UniversityNanjingPeople’s Republic of China
  3. 3.School of Computer Science and ITRMIT UniversityMelbourneAustralia

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