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A machine learning approach using micro inertial measurement units (\u03bcIMUs) for noninvasive sarcopenia\u2010prone screening through a single sit\u2010to\u2010stand (1STS) test is developed. The study involves 53 older participants (65\u201384\u2009years), each wearing two IMUs, i.e., one on the thigh and one on the waist. The 1STS motion is divided into four phases and extract 510 features from the collected data. Phase 1 is crucial for distinguishing healthy from sarcopenia\u2010prone participants, while Phase 2 is significant in differentiating risk levels. Key indicators include anterior\u2013posterior and mediolateral movements, particularly along the\n                    <jats:italic>y<\/jats:italic>\n                    \u2010axis and\n                    <jats:italic>z<\/jats:italic>\n                    \u2010axis of the sensors. Five classification algorithms (support vector machine (SVM), K\u2010nearest neighbors (KNN), decision tree, linear discriminant analysis, and multilayer perceptron (MLP)) with selected features are trained. The method achieves 98.32% accuracy using SVM and MLP in distinguishing healthy from sarcopenia\u2010prone participants and 90.44% accuracy using KNN in classifying participants across four risk levels (0\u20133) based on physical performance severity. These results suggest that the proposed method provides a low\u2010cost, nonspecialist technique for large\u2010scale sarcopenia\u2010prone risk screening and assessment of physical performance severities.\n                  <\/jats:p>","DOI":"10.1002\/aisy.202401120","type":"journal-article","created":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T22:05:51Z","timestamp":1739829951000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Multi\u2010Risk\u2010Level Sarcopenia\u2010Prone Screening via Machine Learning Classification of Sit\u2010to\u2010Stand Motion Metrics from Wearable Sensors"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0310-3315","authenticated-orcid":false,"given":"Keer","family":"Wang","sequence":"first","affiliation":[{"name":"The Department of Mechanical Engineering City University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Department of Mechanical Engineering City University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clio Yuen Man","family":"Cheng","sequence":"additional","affiliation":[{"name":"The Department of Social Work and Social Administration The University of Hong Kong  Hong Kong 999077 China"},{"name":"Sau Po Centre on Ageing The University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9657-5383","authenticated-orcid":false,"given":"Meng","family":"Chen","sequence":"additional","affiliation":[{"name":"The Department of Mechanical Engineering City University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"King Wai Chiu","family":"Lai","sequence":"additional","affiliation":[{"name":"The Department of Biomedical Engineering Centre for Robotics and Automation City University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Calvin Kalun","family":"Or","sequence":"additional","affiliation":[{"name":"The Department of Industrial and Manufacturing Systems Engineering The University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Hu","sequence":"additional","affiliation":[{"name":"The Department of Orthopaedics and Traumatology Li Ka\u2010Shing Faculty of Medicine The University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arul Lenus Roy","family":"Vellaisamy","sequence":"additional","affiliation":[{"name":"School of Science and Technology The Hong Kong Metropolitan University  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cindy Lo Kuen","family":"Lam","sequence":"additional","affiliation":[{"name":"The Department of Family Medicine and Primary Care Li Ka\u2010Shing Faculty of Medicine The University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Xi","sequence":"additional","affiliation":[{"name":"The Department of Industrial and Manufacturing Systems Engineering The University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7000-1306","authenticated-orcid":false,"given":"Vivian Weiqun","family":"Lou","sequence":"additional","affiliation":[{"name":"The Department of Social Work and Social Administration The University of Hong Kong  Hong Kong 999077 China"},{"name":"Sau Po Centre on Ageing The University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9616-6213","authenticated-orcid":false,"given":"Wen Jung","family":"Li","sequence":"additional","affiliation":[{"name":"The Department of Mechanical Engineering City University of Hong Kong  Hong Kong 999077 China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,2,17]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/PHM.0000000000001391"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0169548"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00246.2003"},{"key":"e_1_2_10_5_1","first-page":"181","volume":"11","author":"Rubbieri G.","year":"2014","journal-title":"Clin. 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