A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017
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 languag...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-07-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/7/2208 |
| _version_ | 1818039058824167424 |
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| author | Mohamed Aktham Ahmed Bilal Bahaa Zaidan Aws Alaa Zaidan Mahmood Maher Salih Muhammad Modi bin Lakulu |
| author_facet | Mohamed Aktham Ahmed Bilal Bahaa Zaidan Aws Alaa Zaidan Mahmood Maher Salih Muhammad Modi bin Lakulu |
| author_sort | Mohamed Aktham Ahmed |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T07:52:36Z |
| format | Article |
| id | doaj.art-913692dd11a747cba567fc15f5cdec56 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T07:52:36Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-913692dd11a747cba567fc15f5cdec562022-12-22T01:56:59ZengMDPI AGSensors1424-82202018-07-01187220810.3390/s18072208s18072208A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017Mohamed Aktham Ahmed0Bilal Bahaa Zaidan1Aws Alaa Zaidan2Mahmood Maher Salih3Muhammad Modi bin Lakulu4Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, MalaysiaDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, MalaysiaDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, MalaysiaDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, MalaysiaDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, MalaysiaLoss 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.http://www.mdpi.com/1424-8220/18/7/2208sign languageglovesensorgesture recognitionpattern recognitionman-machine interface (MMI)classification |
| spellingShingle | Mohamed Aktham Ahmed Bilal Bahaa Zaidan Aws Alaa Zaidan Mahmood Maher Salih Muhammad Modi bin Lakulu A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017 Sensors sign language glove sensor gesture recognition pattern recognition man-machine interface (MMI) classification |
| title | A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017 |
| title_full | A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017 |
| title_fullStr | A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017 |
| title_full_unstemmed | A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017 |
| title_short | A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017 |
| title_sort | review on systems based sensory gloves for sign language recognition state of the art between 2007 and 2017 |
| topic | sign language glove sensor gesture recognition pattern recognition man-machine interface (MMI) classification |
| url | http://www.mdpi.com/1424-8220/18/7/2208 |
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