{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T12:27:16Z","timestamp":1777724836063,"version":"3.51.4"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T00:00:00Z","timestamp":1645747200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T00:00:00Z","timestamp":1645747200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Virtual Reality"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In specific virtual reality applications that require high accuracy it may be advisable to replace the built-in tracking system of the HMD with a third party solution. The purpose of this research work is to evaluate the accuracy of the built-in tracking system of the Oculus Rift S Head Mounted Display (HMD) in room scale environments against a motion capture system. In particular, an experimental evaluation of the Oculus Rift S inside-out tracking technology was carried out, compared to the performance of an outside-in tracking method based on the OptiTrack motion capture system. In order to track the pose of the HMD using the motion capture system the Oculus Rift S was instrumented with passive retro-reflective markers and calibrated. Experiments have been performed on a dataset of multiple paths including simple motions as well as more complex paths. Each recorded path contained simultaneous changes in both position and orientation of the HMD. Our results indicate that in room-scale environments the average translation error for the Oculus Rift S tracking system is about <jats:inline-formula><jats:alternatives><jats:tex-math>$$1.83$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                  <mml:mrow>\n                    <mml:mn>1.83<\/mml:mn>\n                  <\/mml:mrow>\n                <\/mml:math><\/jats:alternatives><\/jats:inline-formula>\u00a0cm, and the average rotation error is about <jats:inline-formula><jats:alternatives><jats:tex-math>$$0.77^\\circ$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                  <mml:mrow>\n                    <mml:mn>0<\/mml:mn>\n                    <mml:mo>.<\/mml:mo>\n                    <mml:msup>\n                      <mml:mn>77<\/mml:mn>\n                      <mml:mo>\u2218<\/mml:mo>\n                    <\/mml:msup>\n                  <\/mml:mrow>\n                <\/mml:math><\/jats:alternatives><\/jats:inline-formula>, which is 2 orders of magnitude higher than the performance that can be achieved using a motion capture system.<\/jats:p>","DOI":"10.1007\/s10055-022-00637-3","type":"journal-article","created":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T04:45:09Z","timestamp":1645764309000},"page":"1335-1345","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Evaluation of the Oculus Rift S tracking system in room scale virtual reality"],"prefix":"10.1007","volume":"26","author":[{"given":"Riccardo","family":"Monica","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2498-932X","authenticated-orcid":false,"given":"Jacopo","family":"Aleotti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"key":"637_CR1","doi-asserted-by":"crossref","unstructured":"Ameler T, Blohme K, Brandt L, Br\u00fcngel R, Hensel A, Huber L, Kuper F, Swoboda J, Warnecke M, Warzecha M, He\u00df D, Fr\u00f6mke J, Schmitz-Stolbrink A, Friedrich CM (2019) A comparative evaluation of steamvr tracking and the optitrack system for medical device tracking. 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