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However, the current methods can only complete the assessment in one stage and lack objective and quantitative assessment strategies. Here, a full\u2010process, fine\u2010grained, and quantitative rehabilitation assessments platform (RAP) supported by on\u2010skin sensors and a multi\u2010task gait transformer (MG\u2010former) model for patients with lower limb movement disorders is developed. The signal quality and sensitivity of on\u2010skin sensor is improved by the synthesis of high\u2010performance triboelectric material and structure design. The MG\u2010former model can simultaneously perform multiple tasks including binary classification, multiclassification, and regression, corresponding to assessment of fall risk, walking ability, and rehabilitation progress, covering the whole rehabilitation cycle. The RAP can assess the walking ability of 23 hemiplegic patients, which has highly consistent results with the scores by the experienced physician. Furthermore, the MG\u2010former model outputs fine\u2010grained assessment results when performing regression task to track slight progress of patients that cannot be captured by conventional scales, facilitating adjustment of rehabilitation plans. This work provides an objective and quantitative platform, which is instructive for physicians and patients to implement effective strategy throughout the whole rehabilitation process.<\/jats:p>","DOI":"10.1002\/adma.202408478","type":"journal-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T03:31:33Z","timestamp":1726803093000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["A Full\u2010Process, Fine\u2010Grained, and Quantitative Rehabilitation Assessment Platform Enabled by On\u2010Skin Sensors and Multi\u2010Task Gait Transformer Model"],"prefix":"10.1002","volume":"36","author":[{"given":"Zhixin","family":"Wang","sequence":"first","affiliation":[{"name":"Flexible Electronics Research Center State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology  Wuhan 430074 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