IoT Based Earthquake Prediction Technology

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. © Springer Nature Switzerland AG 2018.

Authors
Pirmagomedov R. 1 , Blinnikov M.2 , Amelyanovich A.2 , Glushakov R.3 , Loskutov S.4 , Koucheryavy A. 2 , Kirichek R. 2 , Bobrikova E. 1
Language
English
Pages
535-546
Status
Published
Volume
11118 LNCS
Year
2018
Organizations
  • 1 Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, Moscow, 117198, Russian Federation
  • 2 St. Petersburg State University of Telecommunication, Saint Petersburg, 193232, Russian Federation
  • 3 Military Medical Academy, Saint Petersburg, 194044, Russian Federation
  • 4 FSBSI ARRIAM, Saint Petersburg, 196608, Russian Federation
Keywords
Big data; Computer vision; Earthquake prediction; Inertial sensors; IoT
Date of creation
04.02.2019
Date of change
04.02.2019
Short link
https://repository.rudn.ru/en/records/article/record/36499/
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