{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T14:48:53Z","timestamp":1781016533447,"version":"3.54.1"},"reference-count":49,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T00:00:00Z","timestamp":1658793600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the population. Long hours of sitting, especially in wrong postures, may result in health complications. A smart chair with the capability to identify sitting postures can help reduce health risks induced by a modern lifestyle. This paper presents the design, realization and evaluation of a new smart chair sensors system capable of sitting postures identification. The system consists of eight pressure sensors placed on the chair\u2019s sitting cushion and the backrest. A signal acquisition board was designed from scratch to acquire data generated by the pressure sensors and transmit them via a Wi-Fi network to a purposely developed graphical user interface which monitors and stores the acquired sensors\u2019 data on a computer. The designed system was tested by means of an extensive sitting experiment involving 40 subjects, and from the acquired data, the classification of the respective sitting postures out of eight possible postures was performed. Hereby, the performance of seven deep-learning algorithms was assessed. The best accuracy of 91.68% was achieved by an echo memory network model. The designed smart chair sensors system is simple and versatile, low cost and accurate, and it can easily be deployed in several smart chair environments, both for public and private contexts.<\/jats:p>","DOI":"10.3390\/s22155585","type":"journal-article","created":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T04:59:16Z","timestamp":1658897956000},"page":"5585","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-9406-3072","authenticated-orcid":false,"given":"Taraneh","family":"Aminosharieh Najafi","sequence":"first","affiliation":[{"name":"Polytechnic Department of Engineering and Architecture, University of Udine, Via delle Scienze 206, 33100 Udine, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Abramo","sequence":"additional","affiliation":[{"name":"Polytechnic Department of Engineering and Architecture, University of Udine, Via delle Scienze 206, 33100 Udine, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0773-9476","authenticated-orcid":false,"given":"Kyandoghere","family":"Kyamakya","sequence":"additional","affiliation":[{"name":"Institute for Smart Systems Technologies, Alpen-Adria University, 9020 Klagenfurt, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6963-0196","authenticated-orcid":false,"given":"Antonio","family":"Affanni","sequence":"additional","affiliation":[{"name":"Polytechnic Department of Engineering and Architecture, University of Udine, Via delle Scienze 206, 33100 Udine, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1900156","DOI":"10.1002\/bies.201900156","article-title":"An evolutionary perspective on sedentary behavior","volume":"42","author":"Speakman","year":"2020","journal-title":"BioEssays"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e22919","DOI":"10.1002\/ajhb.22919","article-title":"Physical activity patterns and biomarkers of cardiovascular disease risk in hunter-gatherers","volume":"29","author":"Raichlen","year":"2017","journal-title":"Am. 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