{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T16:32:40Z","timestamp":1772555560261,"version":"3.50.1"},"reference-count":21,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T00:00:00Z","timestamp":1670803200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Multimedia University and Universitas Telkom Joint Research Grant","award":["MMUE\/210063"],"award-info":[{"award-number":["MMUE\/210063"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Parkinson\u2019s disease (PD) is a neurodegenerative disorder that is more common in elderly people and affects motor control, flexibility, and how easily patients adapt to their walking environments. PD is progressive in nature, and if undetected and untreated, the symptoms grow worse over time. Fortunately, PD can be detected early using gait features since the loss of motor control results in gait impairment. In general, techniques for capturing gait can be categorized as computer-vision-based or sensor-based. Sensor-based techniques are mostly used in clinical gait analysis and are regarded as the gold standard for PD detection. The main limitation of using sensor-based gait capture is the associated high cost and the technical expertise required for setup. In addition, the subjects\u2019 consciousness of worn sensors and being actively monitored may further impact their motor function. Recent advances in computer vision have enabled the tracking of body parts in videos in a markerless motion capture scenario via human pose estimation (HPE). Although markerless motion capture has been studied in comparison with gold-standard motion-capture techniques, it is yet to be evaluated in the prediction of neurological conditions such as PD. Hence, in this study, we extract PD-discriminative gait features from raw videos of subjects and demonstrate the potential of markerless motion capture for PD prediction. First, we perform HPE on the subjects using AlphaPose. Then, we extract and analyse eight features, from which five features are systematically selected, achieving up to 93% accuracy, 96% precision, and 92% recall in arbitrary views.<\/jats:p>","DOI":"10.3390\/a15120474","type":"journal-article","created":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T02:59:01Z","timestamp":1670900341000},"page":"474","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Pose-Based Gait Analysis for Diagnosis of Parkinson\u2019s Disease"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0901-3831","authenticated-orcid":false,"given":"Tee","family":"Connie","sequence":"first","affiliation":[{"name":"Faculty of Information Science and Technology, Multimedia University, Malacca 75450, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4770-5871","authenticated-orcid":false,"given":"Timilehin B.","family":"Aderinola","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Multimedia University, Malacca 75450, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5867-9517","authenticated-orcid":false,"given":"Thian Song","family":"Ong","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Multimedia University, Malacca 75450, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9217-6390","authenticated-orcid":false,"given":"Michael Kah Ong","family":"Goh","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Multimedia University, Malacca 75450, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5677-2235","authenticated-orcid":false,"given":"Bayu","family":"Erfianto","sequence":"additional","affiliation":[{"name":"School of Computing, Telkom University, Jawa Barat 40257, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6188-4685","authenticated-orcid":false,"given":"Bedy","family":"Purnama","sequence":"additional","affiliation":[{"name":"School of Computing, Telkom University, Jawa Barat 40257, Indonesia"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/S0268-0033(01)00035-3","article-title":"The biomechanics and motor control of gait in Parkinson disease","volume":"16","author":"Morris","year":"2001","journal-title":"Clin. 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