{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T10:07:14Z","timestamp":1773655634453,"version":"3.50.1"},"reference-count":14,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2010,10,13]],"date-time":"2010-10-13T00:00:00Z","timestamp":1286928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In pedestrian navigation systems, the position of a pedestrian is computed using an inertial navigation algorithm. In the algorithm, the zero velocity updating plays an important role, where zero velocity intervals are detected and the velocity error is reset. To use the zero velocity updating, it is necessary to detect zero velocity intervals reliably. A new zero detection algorithm is proposed in the paper, where only one gyroscope value is used. A Markov model is constructed using segmentation of gyroscope outputs instead of using gyroscope outputs directly, which makes the zero velocity detection more reliable.<\/jats:p>","DOI":"10.3390\/s101009163","type":"journal-article","created":{"date-parts":[[2010,10,13]],"date-time":"2010-10-13T11:10:49Z","timestamp":1286968249000},"page":"9163-9178","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":146,"title":["A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems"],"prefix":"10.3390","volume":"10","author":[{"given":"Sang Kyeong","family":"Park","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, University of Ulsan, Namgu, Ulsan 680-749, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2958-5383","authenticated-orcid":false,"given":"Young Soo","family":"Suh","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Ulsan, Namgu, Ulsan 680-749, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2010,10,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/MCG.2005.140","article-title":"Pedestrian tracking with shoe-mounted inertial sensors","volume":"25","author":"Foxlin","year":"2005","journal-title":"IEEE Comp. Graph. Appl"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Yun, X, Bachmann, ER, IV, HM, and Calusidan, J (2007, January April). Self-contained position tracking of human movement using small inertial\/magnetic sensor modules. Rome, Italy.","DOI":"10.1109\/ROBOT.2007.363845"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1017\/S0373463307004286","article-title":"Non-GPS navigation for security personnel and first responders","volume":"60","author":"Ojeda","year":"2007","journal-title":"J. Navigation"},{"key":"ref_4","unstructured":"Suh, YS, and Park, SK (2009, January February). Pedestrian inertial navigation with gait phase detection assisted zero velocity updating. Wellington, New Zealand."},{"key":"ref_5","unstructured":"Stirling, RG (2003). Development of A Pedestrian Navigation System Using Shoe Mounted Sensors. 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Syst"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/10\/9163\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:03:33Z","timestamp":1760220213000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/10\/9163"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,10,13]]},"references-count":14,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2010,10]]}},"alternative-id":["s101009163"],"URL":"https:\/\/doi.org\/10.3390\/s101009163","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,10,13]]}}}