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The advancement of tag technology and the increasingly widespread use of bio\u2010logging tags are leading to large volumes of sometimes extremely detailed data. With the increasing quantity and duration of tag deployments, a set of tools needs to be developed to aid in facilitating and standardizing the analysis of movement sensor data. Here, we developed an observation\u2010based decision tree method to detect feeding events in data from multisensor movement tags attached to fin whales <jats:italic>(Balaenoptera physalus<\/jats:italic>). Fin whales exhibit an energetically costly and kinematically complex foraging behavior called lunge feeding, an intermittent ram filtration mechanism. Using this automated system, we identified feeding lunges in 19 fin whales tagged with multisensor tags, during a total of over 100\u00a0h of continuously sampled data. Using movement sensor and hydrophone data, the automated lunge detector correctly identified an average of 92.8% of all lunges, with a false\u2010positive rate of 9.5%. The strong performance of our automated feeding detector demonstrates an effective, straightforward method of activity identification in animal\u2010borne movement tag data. Our method employs a detection algorithm that utilizes a hierarchy of simple thresholds based on knowledge of observed features of feeding behavior, a technique that is readily modifiable to fit a variety of species and behaviors. Using automated methods to detect behavioral events in tag records will significantly decrease data analysis time and aid in standardizing analysis methods, crucial objectives with the rapidly increasing quantity and variety of on\u2010animal tag data. Furthermore, our results have implications for next\u2010generation tag design, especially long\u2010term tags that can be outfitted with on\u2010board processing algorithms that automatically detect kinematic events and transmit ethograms via acoustic or satellite telemetry.<\/jats:p>","DOI":"10.1002\/ece3.2386","type":"journal-article","created":{"date-parts":[[2016,9,30]],"date-time":"2016-09-30T02:24:53Z","timestamp":1475202293000},"page":"7522-7535","source":"Crossref","is-referenced-by-count":21,"title":["Development of an automated method of detecting stereotyped feeding events in multisensor data from tagged rorqual whales"],"prefix":"10.1002","volume":"6","author":[{"given":"Ann N.","family":"Allen","sequence":"first","affiliation":[{"name":"Cascadia Research Collective 218 1\/2 W. 4th Avenue Olympia Washington 98501"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeremy A.","family":"Goldbogen","sequence":"additional","affiliation":[{"name":"Department of Biology Hopkins Marine Station Stanford University Pacific Grove California 93950"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ari S.","family":"Friedlaender","sequence":"additional","affiliation":[{"name":"Department of Fisheries and Wildlife Marine Mammal Institute Hatfield Marine Science Center Oregon State University Newport Oregon 97365"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Calambokidis","sequence":"additional","affiliation":[{"name":"Cascadia Research Collective 218 1\/2 W. 4th Avenue Olympia Washington 98501"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2016,9,29]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1242\/jeb.200.1.149"},{"key":"e_1_2_7_3_1","first-page":"213","article-title":"Observations on the habits of the finback and humpback whales of the eastern North Pacific","volume":"26","author":"Andrews R. 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