{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,26]],"date-time":"2026-04-26T07:00:02Z","timestamp":1777186802085,"version":"3.51.4"},"reference-count":98,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T00:00:00Z","timestamp":1531094400000},"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>Loss of the ability to speak or hear exerts psychological and social impacts on the affected persons due to the lack of proper communication. Multiple and systematic scholarly interventions that vary according to context have been implemented to overcome disability-related difficulties. Sign language recognition (SLR) systems based on sensory gloves are significant innovations that aim to procure data on the shape or movement of the human hand. Innovative technology for this matter is mainly restricted and dispersed. The available trends and gaps should be explored in this research approach to provide valuable insights into technological environments. Thus, a review is conducted to create a coherent taxonomy to describe the latest research divided into four main categories: development, framework, other hand gesture recognition, and reviews and surveys. Then, we conduct analyses of the glove systems for SLR device characteristics, develop a roadmap for technology evolution, discuss its limitations, and provide valuable insights into technological environments. This will help researchers to understand the current options and gaps in this area, thus contributing to this line of research.<\/jats:p>","DOI":"10.3390\/s18072208","type":"journal-article","created":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T11:18:53Z","timestamp":1531135133000},"page":"2208","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":227,"title":["A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4663-4469","authenticated-orcid":false,"given":"Mohamed Aktham","family":"Ahmed","sequence":"first","affiliation":[{"name":"Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, Malaysia"},{"name":"Department of Computer Science, Computer Science and Mathematics College, Tikrit University, Tikrit 34001, Iraq"}]},{"given":"Bilal Bahaa","family":"Zaidan","sequence":"additional","affiliation":[{"name":"Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, Malaysia"}]},{"given":"Aws Alaa","family":"Zaidan","sequence":"additional","affiliation":[{"name":"Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, Malaysia"}]},{"given":"Mahmood Maher","family":"Salih","sequence":"additional","affiliation":[{"name":"Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, Malaysia"},{"name":"Department of Computer Science, Computer Science and Mathematics College, Tikrit University, Tikrit 34001, Iraq"}]},{"given":"Muhammad Modi bin","family":"Lakulu","sequence":"additional","affiliation":[{"name":"Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, Malaysia"}]}],"member":"1968","published-online":{"date-parts":[[2018,7,9]]},"reference":[{"key":"ref_1","unstructured":"Word Health Orgnanization (2017, November 13). 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