{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T16:06:25Z","timestamp":1778169985569,"version":"3.51.4"},"reference-count":35,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T00:00:00Z","timestamp":1668124800000},"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>Modern wheelchairs, with advanced and robotic technologies, could not reach the life of millions of disabled people due to their high costs, technical limitations, and safety issues. This paper proposes a gesture-controlled smart wheelchair system with an IoT-enabled fall detection mechanism to overcome these problems. It can recognize gestures using Convolutional Neural Network (CNN) model along with computer vision algorithms and can control the wheelchair automatically by utilizing these gestures. It maintains the safety of the users by performing fall detection with IoT-based emergency messaging systems. The development cost of the overall system is cheap and is lesser than USD 300. Hence, it is expected that the proposed smart wheelchair should be affordable, safe, and helpful to physically disordered people in their independent mobility.<\/jats:p>","DOI":"10.3390\/s22228716","type":"journal-article","created":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T04:30:52Z","timestamp":1668400252000},"page":"8716","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Finger-Gesture Controlled Wheelchair with Enabling IoT"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3390-6450","authenticated-orcid":false,"given":"Muhammad Sheikh","family":"Sadi","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh"},{"name":"Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8754-3782","authenticated-orcid":false,"given":"Mohammed","family":"Alotaibi","sequence":"additional","affiliation":[{"name":"Faculty of Computers and Information Technology, University of Tabuk, Tabuk 71490, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0416-2990","authenticated-orcid":false,"given":"Md. Repon","family":"Islam","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh"}]},{"given":"Md. Saiful","family":"Islam","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9377-4897","authenticated-orcid":false,"given":"Tareq","family":"Alhmiedat","sequence":"additional","affiliation":[{"name":"Faculty of Computers and Information Technology, University of Tabuk, Tabuk 71490, Saudi Arabia"},{"name":"Industrial Innovation & Robotics Center, University of Tabuk, Tabuk 71490, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1172-885X","authenticated-orcid":false,"given":"Zaid","family":"Bassfar","sequence":"additional","affiliation":[{"name":"Faculty of Computers and Information Technology, University of Tabuk, Tabuk 71490, Saudi Arabia"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1093\/ywcct\/mbz015","article-title":"Disability Studies","volume":"27","author":"Quirici","year":"2019","journal-title":"Year\u2019s Work Crit. 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