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Accelerometer-Based Event Detector for Low-Power Applications
Department of Computer Science and Systems Technology, University of Pannonia, Veszprém H-8200, Hungary
* Author to whom correspondence should be addressed.
Received: 23 July 2013; in revised form: 2 October 2013 / Accepted: 8 October 2013 / Published: 16 October 2013
Abstract: 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.
Keywords: 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.
Smidla J, Simon G. Accelerometer-Based Event Detector for Low-Power Applications. Sensors. 2013; 13(10):13978-13997.
Smidla, József; Simon, Gyula. 2013. "Accelerometer-Based Event Detector for Low-Power Applications." Sensors 13, no. 10: 13978-13997.