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As a first step towards this goal, we developed an algorithm to detect and classify goalkeeper training exercises using a wearable inertial sensor attached to a goalkeeper glove. We collected data from 14 goalkeeper trainees while performing a series of training exercises (e.g., dives, catches, throws). Our approach first detects the exercises using an event detection algorithm based on a high-pass filter, a peak detector, and Dynamic Time Warping to detect and eliminate irrelevant motion instances. Then, it extracts a set of statistical and heuristic features to describe the different exercises and train a machine learning classifier. Our exercise detection approach retrieves 93.8% of the relevant exercises with 90.6% precision and classifies the detected exercises with an accuracy of 96.5%. The exercises recognized by our algorithm can be used to compute further qualitative metrics about individual exercise executions to provide goalkeepers with relevant feedback about their training.<\/jats:p>","DOI":"10.1145\/3372342","type":"journal-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T11:35:06Z","timestamp":1586432106000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Sensor-based Detection and Classification of Soccer Goalkeeper Training Exercises"],"prefix":"10.1145","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0248-2333","authenticated-orcid":false,"given":"Juan","family":"Haladjian","sequence":"first","affiliation":[{"name":"Technical University Munich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Schlabbers","sequence":"additional","affiliation":[{"name":"Technical University Munich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sajjad","family":"Taheri","sequence":"additional","affiliation":[{"name":"Technical University Munich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Tharr","sequence":"additional","affiliation":[{"name":"Technical University Munich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernd","family":"Bruegge","sequence":"additional","affiliation":[{"name":"Technical University Munich"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,4,9]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2012.08.003"},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the IEEE SENSORS. 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