{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T15:47:12Z","timestamp":1787672832714,"version":"build-2736575974"},"reference-count":37,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T00:00:00Z","timestamp":1726444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shaanxi Provincial Key Research and Development Program 2023","award":["2023-YBSF-203"],"award-info":[{"award-number":["2023-YBSF-203"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Gait instability is critical in medicine and healthcare, as it has associations with balance disorder and physical impairment. With the development of sensor technology, despite the fact that numerous wearable gait detection and recognition systems have been designed to monitor users\u2019 gait patterns, they commonly spend a lot of time and effort to extract gait metrics from signal data. This study aims to design an artificial intelligence-empowered and economic-friendly gait monitoring system. A pair of intelligent shoes with a single inertial sensor and a smartphone application were developed as a gait monitoring system to detect users\u2019 gait cycle, stand phase time, swing phase time, stride length, and foot clearance. We recruited 30 participants (24.09 \u00b1 1.89 years) to collect gait data and used the Vicon motion capture system to verify the accuracy of the gait metrics. The results show that the gait monitoring system performs better on the assessment of the gait metrics. The accuracy of stride length and foot clearance is 96.17% and 92.07%, respectively. The artificial intelligence-empowered gait monitoring system holds promising potential for improving gait analysis and monitoring in the medical and healthcare fields.<\/jats:p>","DOI":"10.3390\/s24185998","type":"journal-article","created":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T11:36:37Z","timestamp":1726486597000},"page":"5998","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Development and Assessment of Artificial Intelligence-Empowered Gait Monitoring System Using Single Inertial Sensor"],"prefix":"10.3390","volume":"24","author":[{"given":"Jie","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Apparel and Art Design, Xi\u2019an Polytechnic University, No. 19 Jinhua South Road, Xi\u2019an 710048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8685-344X","authenticated-orcid":false,"given":"Qian","family":"Mao","sequence":"additional","affiliation":[{"name":"School of Design, The Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2482-7884","authenticated-orcid":false,"given":"Fan","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5911-0798","authenticated-orcid":false,"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Menghan","family":"Shi","sequence":"additional","affiliation":[{"name":"Lancaster Imagination Lab, Lancashire, Lancaster LA1 4YD, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zilin","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Design, South China University of Technology, Guangzhou 510641, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2255","DOI":"10.3390\/s120202255","article-title":"Gait analysis using wearable sensors","volume":"12","author":"Tao","year":"2012","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2763","DOI":"10.1016\/j.jbiomech.2016.06.007","article-title":"Characterisation of foot clearance during gait in people with early Parkinson\u2019s disease: Deficits associated with a dual task","volume":"49","author":"Alcock","year":"2016","journal-title":"J. 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