{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T11:05:00Z","timestamp":1785409500366,"version":"3.56.0"},"reference-count":54,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T00:00:00Z","timestamp":1763510400000},"content-version":"unspecified","delay-in-days":322,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Wearable Technol."],"published-print":{"date-parts":[[2025]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    In recent years, there has been growing interest regarding the impact of human movement quality on health. However, assessing movement quality outside of laboratories or clinics remains challenging. This study aimed to evaluate the capabilities of consumer-grade wearables to assess movement quality and to consider optimal sensor locations. Twenty-two participants wore Polar Verity Sense magnetic, angular rate, and gravity (MARG) sensors on their chest and both wrists, thighs, and ankles, while performing repeated bodyweight movements. The Madgwick sensor-fusion algorithm was utilized to obtain three-dimensional orientations. Concurrent validity, quantified using the root-mean-square-error (RMSE), was established against a Vicon optical motion capture system following time-synchronization and coordinate-system alignment. The chest sensors demonstrated the highest accuracies overall, with mean RMSE (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mime-subtype=\"png\" xlink:href=\"S2631717625100340_inline90001.png\"\/>\n                        <jats:tex-math>$ {\\mathrm{RMSE}}_{\\mathrm{mean}} $<\/jats:tex-math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    ) less than 9.0\u00b0 across all movements. In contrast, the wrist sensors varied considerably (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mime-subtype=\"png\" xlink:href=\"S2631717625100340_inline90002.png\"\/>\n                        <jats:tex-math>$ 5.5\\hskip-2pt {}^{\\circ}\\le {\\mathrm{RMSE}}_{\\mathrm{mean}}\\le 139.1\\hskip-2pt {}^{\\circ} $<\/jats:tex-math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    ). Ankle and thigh sensors yielded mixed results, with the\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mime-subtype=\"png\" xlink:href=\"S2631717625100340_inline90003.png\"\/>\n                        <jats:tex-math>$ {\\mathrm{RMSE}}_{\\mathrm{mean}} $<\/jats:tex-math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    ranging from 2.0\u00b0 to 40.0\u00b0. Notably, yaw angles consistently demonstrated higher discrepancies overall, while pitch and roll were relatively more stable. This study highlights the potential of consumer-grade MARG sensors to increase the real-world applicability and accessibility of complex biomechanical models. It also accentuates the requirement for strategic sensor placement and refined calibration and postprocessing methods to ensure accuracy.\n                  <\/jats:p>","DOI":"10.1017\/wtc.2025.10034","type":"journal-article","created":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T05:23:49Z","timestamp":1763529829000},"update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":0,"title":["Assessing real-world movements using consumer-grade wearable devices: Measuring segment orientations and movement quality"],"prefix":"10.1017","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3142-2399","authenticated-orcid":false,"given":"T. Alexander","family":"Swain","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/053fq8t95","id-type":"ROR","asserted-by":"publisher"}],"name":"Swansea University"},{"id":[{"id":"https:\/\/ror.org\/053fq8t95","id-type":"ROR","asserted-by":"publisher"}],"name":"Swansea University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melitta A.","family":"McNarry","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/053fq8t95","id-type":"ROR","asserted-by":"publisher"}],"name":"Swansea University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel","family":"Manzano-Carrasco","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0075gfd51","id-type":"ROR","asserted-by":"publisher"}],"name":"Universidad Loyola Andaluc\u00eda - Campus de Sevilla"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelly A.","family":"Mackintosh","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/053fq8t95","id-type":"ROR","asserted-by":"publisher"}],"name":"Swansea University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2025,11,19]]},"reference":[{"key":"S2631717625100340_r54","doi-asserted-by":"publisher","DOI":"10.1080\/14763141.2017.1314544"},{"key":"S2631717625100340_r13","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2008.12.004"},{"key":"S2631717625100340_r9","doi-asserted-by":"publisher","DOI":"10.3390\/s20030783"},{"key":"S2631717625100340_r38","doi-asserted-by":"publisher","DOI":"10.3390\/s141222864"},{"key":"S2631717625100340_r46","unstructured":"Sports Medicine AC (2019) ACSM Risk Stratification Chart. 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Published by Cambridge University Press","name":"copyright","label":"Copyright","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http:\/\/creativecommons.org\/licenses\/by\/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.","name":"license","label":"License","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}],"article-number":"e54"}}