%0 Journal Article %1 ahmed2018review %A Ahmed, Mohamed Aktham %A Zaidan, Bilal Bahaa %A Zaidan, Aws Alaa %A Salih, Mahmood Maher %A bin Lakulu, Muhammad Modi %D 2018 %I MDPI AG %J Sensors %K classification gesture-recognition glove human-computer-interface pattern-recognition real sensor sign-language %N 7 %P 2208 %R 10.3390/s18072208 %T A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017 %U https://doi.org/10.3390%2Fs18072208 %V 18 %X 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. View Full-Text

@article{ahmed2018review, abstract = { 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. View Full-Text }, added-at = {2019-11-14T17:59:49.000+0100}, author = {Ahmed, Mohamed Aktham and Zaidan, Bilal Bahaa and Zaidan, Aws Alaa and Salih, Mahmood Maher and bin Lakulu, Muhammad Modi}, biburl = {https://www.bibsonomy.org/bibtex/2e1c618a9078f143f21175d2e396e3c72/jpmor}, day = 09, description = {Sensors | Free Full-Text | A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017}, doi = {10.3390/s18072208}, interhash = {bb4ddbd911dd2fc8cdda614e99f554cc}, intrahash = {e1c618a9078f143f21175d2e396e3c72}, journal = {Sensors}, keywords = {classification gesture-recognition glove human-computer-interface pattern-recognition real sensor sign-language}, language = {English}, month = jul, number = 7, pages = 2208, publisher = {MDPI AG}, school = { University Pendidikan Sultan Idris (UPSI)}, timestamp = {2020-10-07T13:36:50.000+0200}, title = {A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017}, url = {https://doi.org/10.3390%2Fs18072208}, volume = 18, year = 2018 }