IoT Based Earthquake Prediction Technology

  • Rustam PirmagomedovEmail author
  • Mikhail Blinnikov
  • Alexey Amelyanovich
  • Ruslan Glushakov
  • Svyatoslav Loskutov
  • Andrey Koucheryavy
  • Ruslan Kirichek
  • Ekaterina Bobrikova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11118)


The article presents results of the first stage of the development of an animal monitoring system using IoT technology. Data on animal behavior collected using the system should confirm or refute the thesis about the ability of some animal species to respond to signs of an approaching earthquake. The article provides a review of the previous works on this topic and formulates new tasks, the solution of which will improve the previously available methodologies on the use of animals as a biosensor. The system exploits inertial sensors and computer vision to collect data on animal behavior. Data processing and analysis is carried out on the central server. It is expected that in the case of a systemic cause (for example, signs of an approaching earthquake) non-standard animal behavior should be massive.


IoT Earthquake prediction Inertial sensors Big data Computer vision 



The publication has been prepared with the support of the “RUDN University Program 5-100” and funded by RFBR according to the research project No. No18-37-00084.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Rustam Pirmagomedov
    • 1
    Email author
  • Mikhail Blinnikov
    • 2
  • Alexey Amelyanovich
    • 2
  • Ruslan Glushakov
    • 3
  • Svyatoslav Loskutov
    • 4
  • Andrey Koucheryavy
    • 2
  • Ruslan Kirichek
    • 2
  • Ekaterina Bobrikova
    • 1
  1. 1.Peoples’ Friendship University of Russia (RUDN University)MoscowRussian Federation
  2. 2.St. Petersburg State University of TelecommunicationSaint PetersburgRussian Federation
  3. 3.Military Medical AcademySaint PetersburgRussian Federation
  4. 4.FSBSI ARRIAMSaint PetersburgRussian Federation

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