{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T06:59:06Z","timestamp":1787727546057,"version":"build-2784847793"},"reference-count":62,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T00:00:00Z","timestamp":1729900800000},"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>Background: Gait and posture analysis plays a crucial role in understanding human movement, with significant applications in rehabilitation, sports science, and clinical settings. The GaitON\u00ae system, a 2D motion analysis tool, provides an accessible and cost-effective method for assessing gait and posture. However, its reliability in clinical practice, particularly for intra-rater consistency, remains to be evaluated. This study aims to assess the intra-rater reliability of the GaitON\u00ae system in a healthy population, focusing on gait and posture parameters. Methods: A total of 20 healthy participants (10 males and 10 females) aged 18 to 50 years were recruited for the study. Each participant underwent gait and posture assessments using the GaitON\u00ae system on two separate occasions, spaced one week apart. Video recordings from anterior and posterior views were used to analyze gait, while images from anterior, posterior, and lateral views were captured to assess posture with markers placed on key anatomical landmarks. The reliability of the measurements was analyzed using intraclass correlation coefficients (ICC), a standard error of measurement (SEM), and the smallest detectable difference (SDD) method. Results: The GaitON\u00ae system demonstrated excellent intra-rater reliability across a wide range of gait and posture parameters. ICC values for gait parameters, including hip, knee, and ankle joint angles, ranged from 0.90 to 0.979, indicating strong consistency in repeated measurements. Similarly, ICC values for posture parameters, such as the head alignment, shoulder position, and ASIS alignment, were above 0.90, reflecting excellent reliability. SEM values were low across all parameters, with the smallest SEM recorded for the hip joint angle (0.37\u00b0), and SDD values further confirmed the precision of the system. Conclusion: The GaitON\u00ae system provides reliable and consistent measurements for both gait and posture analysis in healthy individuals. Its high intra-rater reliability and low measurement error make it a promising tool for clinical and sports applications. Further research is needed to validate its use in clinical populations and compare its performance to more complex 3D motion analysis systems.<\/jats:p>","DOI":"10.3390\/s24216884","type":"journal-article","created":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T08:39:07Z","timestamp":1730104747000},"page":"6884","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Establishing the Reliability of the GaitON\u00ae Motion Analysis System: A Foundational Study for Gait and Posture Analysis in a Healthy Population"],"prefix":"10.3390","volume":"24","author":[{"given":"Md Farhan","family":"Alam","sequence":"first","affiliation":[{"name":"Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia, Maulana Muhammad Ali Jauhar Marg, New Delhi 110025, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4520-992X","authenticated-orcid":false,"given":"Saima","family":"Zaki","sequence":"additional","affiliation":[{"name":"Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia, Maulana Muhammad Ali Jauhar Marg, New Delhi 110025, India"},{"name":"Department of Physiotherapy, Sharda School of Allied Health Sciences, Sharda University, Greater Noida 201310, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9659-360X","authenticated-orcid":false,"given":"Saurabh","family":"Sharma","sequence":"additional","affiliation":[{"name":"Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia, Maulana Muhammad Ali Jauhar Marg, New Delhi 110025, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7868-5113","authenticated-orcid":false,"given":"Shibili","family":"Nuhmani","sequence":"additional","affiliation":[{"name":"Department of Physical Therapy, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"467","DOI":"10.5312\/wjo.v12.i7.467","article-title":"Technological advancements in the analysis of human motion and posture management through digital devices","volume":"12","author":"Roggio","year":"2021","journal-title":"World J. 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