SMinder: detect a left-behind phone using sensor-based context awareness

Haibo Ye, Kai Dong, Tao Gu, Zhiqiu Huang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)171-183
Number of pages13
JournalMobile Networks and Applications
Issue number1
Publication statusPublished - Feb 2019
Externally publishedYes


  • Smartphone sensing
  • Left-behind phone
  • Context detection
  • Context inferring


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