Accelerometer-based event detector for low-power applications

József Smidla, Gyula Simon

Research output: Contribution to journalArticle

5 Citations (Scopus)


In this paper, an adaptive, autocovariance-based event detection algorithm is proposed, which can be used with micro-electro-mechanical systems (MEMS) accelerometer sensors to build inexpensive and power efficient event detectors. The algorithm works well with low signal-to-noise ratio input signals, and its computational complexity is very low, allowing its utilization on inexpensive low-end embedded sensor devices. The proposed algorithm decreases its energy consumption by lowering its duty cycle, as much as the event to be detected allows it. The performance of the algorithm is tested and compared to the conventional filter-based approach. The comparison was performed in an application where illegal entering of vehicles into restricted areas was detected.

Original languageEnglish
Pages (from-to)13978-13997
Number of pages20
JournalSensors (Switzerland)
Issue number10
Publication statusPublished - Oct 16 2013


  • Accelerometer
  • Autocovariance
  • Intelligent signal processing
  • MEMS
  • Measurement instrumentation
  • Power efficiency

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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