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The algorithm utilizes slow and quick adaptive thresholds to eliminate static and dynamic noise to check for any disturbance. Duration calculation and filters were used to identify the correct alarm condition. The algorithm was performed on preliminary field tests, and detection performance was verified. Footstep alarm condition up to 8 meters and vehicle presence alarm condition up to 50 meters were observed. Presence of rain did not create any alarm condition. Detection based on kurtosis was also performed and shortcomings of kurtosis especially for vehicle detection were discussed, proposed algorithm has minimal load on the sensor board and its data processing unit; thus, it is energy efficient and suitable for wireless sensor alarm networks. <\/jats:p>","DOI":"10.1155\/2013\/783604","type":"journal-article","created":{"date-parts":[[2013,10,26]],"date-time":"2013-10-26T21:00:35Z","timestamp":1382821235000},"page":"783604","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Footstep and Vehicle Detection Using Slow and Quick Adaptive Thresholds Algorithm"],"prefix":"10.1177","volume":"9","author":[{"given":"G\u00f6khan","family":"Ko\u00e7","sequence":"first","affiliation":[{"name":"Ko\u00e7Sistem Information Communication Services Inc., 34700 Istanbul, Turkey"},{"name":"Department of Electrical and Electronics Engineering, Yeditepe University, 34755 Istanbul, Turkey"}]},{"given":"Korkut","family":"Yegin","sequence":"additional","affiliation":[{"name":"Ko\u00e7Sistem Information Communication Services Inc., 34700 Istanbul, Turkey"},{"name":"Department of Electrical and Electronics Engineering, Yeditepe University, 34755 Istanbul, Turkey"}]}],"member":"179","published-online":{"date-parts":[[2013,10,26]]},"reference":[{"key":"B1-2013-783604","doi-asserted-by":"publisher","DOI":"10.1109\/APCCAS.2010.5775004"},{"key":"B3-2013-783604","doi-asserted-by":"crossref","DOI":"10.1109\/IDC.1999.754194","volume-title":"Detection and Classification for Unattended Ground Sensors","author":"Goodman G. 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