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Open AccessArticle

Accelerometer-Based Event Detector for Low-Power Applications

Department of Computer Science and Systems Technology, University of Pannonia, Veszprém H-8200, Hungary
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Author to whom correspondence should be addressed.
Sensors 2013, 13(10), 13978-13997; https://doi.org/10.3390/s131013978
Received: 23 July 2013 / Revised: 2 October 2013 / Accepted: 8 October 2013 / Published: 16 October 2013
(This article belongs to the Special Issue Modeling, Testing and Reliability Issues in MEMS Engineering 2013)
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. View Full-Text
Keywords: accelerometer; autocovariance; intelligent signal processing; measurement instrumentation; power efficiency; MEMS accelerometer; autocovariance; intelligent signal processing; measurement instrumentation; power efficiency; MEMS
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MDPI and ACS Style

Smidla, J.; Simon, G. Accelerometer-Based Event Detector for Low-Power Applications. Sensors 2013, 13, 13978-13997. https://doi.org/10.3390/s131013978

AMA Style

Smidla J, Simon G. Accelerometer-Based Event Detector for Low-Power Applications. Sensors. 2013; 13(10):13978-13997. https://doi.org/10.3390/s131013978

Chicago/Turabian Style

Smidla, József; Simon, Gyula. 2013. "Accelerometer-Based Event Detector for Low-Power Applications" Sensors 13, no. 10: 13978-13997. https://doi.org/10.3390/s131013978

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