{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:34:13Z","timestamp":1760232853494,"version":"build-2065373602"},"reference-count":18,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>We evaluated a new wearable technology that fuses inertial sensors and cameras for tracking human kinematics. These devices use on-board simultaneous localization and mapping (SLAM) algorithms to localize the camera within the environment. Significance of this technology is in its potential to overcome many of the limitations of the other dominant technologies. Our results demonstrate this system often attains an estimated orientation error of less than 1\u00b0 and a position error of less than 4 cm as compared to a robotic arm. This demonstrates that SLAM\u2019s accuracy is adequate for many practical applications for tracking human kinematics.<\/jats:p>","DOI":"10.3390\/s22239378","type":"journal-article","created":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T03:28:04Z","timestamp":1669951684000},"page":"9378","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Feasibility of Tracking Human Kinematics with Simultaneous Localization and Mapping (SLAM)"],"prefix":"10.3390","volume":"22","author":[{"given":"Sepehr","family":"Laal","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Portland State University, Portland, OR 97201, USA"}]},{"given":"Paul","family":"Vasilyev","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Portland State University, Portland, OR 97201, USA"}]},{"given":"Sean","family":"Pearson","sequence":"additional","affiliation":[{"name":"APDM Wearable Technologies, Portland, OR 97201, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5168-4321","authenticated-orcid":false,"given":"Mateo","family":"Aboy","sequence":"additional","affiliation":[{"name":"Centre for Law, Medicine and Life Sciences, University of Cambridge, Cambridge CB2 1TN, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8091-3560","authenticated-orcid":false,"given":"James","family":"McNames","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Portland State University, Portland, OR 97201, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1109\/MRA.2006.1678144","article-title":"Simultaneous Localization and Mapping: Part I","volume":"13","author":"Bailey","year":"2006","journal-title":"IEEE Robot. 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