Low Cost Full Duplex Wireless Glove for Static and Trajectory Based American Sign Language Translation to Multimedia Output

Bajpai, Dhananjai; Mishra, V.

doi:10.1109/cicn.2016.133

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…The lowand middle-income countries are the most affected by hearing impairment problems due to ear infections according to World Health Organization (WHO) reports [27]. This had been the impetus towards the motivation to find a low-cost, affordable device, that can translate the sign language into an oral language, to enable independent communication and movement for the speech/hearing impaired people in society [20], [28], [29]. The glove-based system requires low-cost hardware, making it affordable for the users [30], [31], [32].…”

Section: ) Benefits Of Using a Glove-based Systemmentioning

confidence: 99%

“…This in turn will increase the students' interest to learn through the use of technology in education [94]. In order to learn and practice sign language, users can connect this device to laptops or mobile phones and use an interactive visual user interface [29], [95]. Secondly, the recommendation for the use of data gloves equipped with sensors is for the industrial sector use such as the gaming industry [96], robotic arm controls [97], visual reality [83], and entertainment [20].…”

Section: ) Recommendation To Applicationsmentioning

confidence: 99%

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A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

et al. 2022

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Sign language is the predominant mode of communication for the Deaf community. For the millions of people who suffer from hearing loss around the world, interaction with people who have the ability to hear and do not suffer from hearing impairment or loss is considered as complicated. In line with this issue, technology is perceived as a crucial factor in being an enabler of providing solutions to enhance the quality of life of the Deaf and people with hearing impairment by increasing accessibility. This research aims to review and analyze articles related to sign language recognition based on the sensor-based glove system, in order to identify academic motivations, challenges, and recommendations related to this field. The search for the relevant review materials and articles was performed on four major databases ranging from 2017 to 2022: Science Direct, Web of Science, IEEE Xplore, and Scopus. The articles were chosen based on our inclusion and exclusion criteria. The literature findings of this paper indicate the dataset size to be open issues and challenges for hand gesture recognition. Furthermore, the majority of research on sign language recognition based on data glove was performed on static, single hand, and isolated gestures. Moreover, recognition accuracy typically achieved results higher than 90%. However, most experiments were carried out with a limited number of gestures. Overall, it is hoped that this study will serve as a roadmap for future research and raise awareness among researchers in the field of sign language recognition.

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Section: ) Benefits Of Using a Glove-based Systemmentioning

confidence: 99%

Section: ) Recommendation To Applicationsmentioning

confidence: 99%

A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

et al. 2022

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Machine translation from signed to spoken languages: state of the art and challenges

Coster

Shterionov

Herreweghe

et al. 2023

Univ Access Inf Soc

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Automatic translation from signed to spoken languages is an interdisciplinary research domain on the intersection of computer vision, machine translation (MT), and linguistics. While the domain is growing in terms of popularity—the majority of scientific papers on sign language (SL) translation have been published in the past five years—research in this domain is performed mostly by computer scientists in isolation. This article presents an extensive and cross-domain overview of the work on SL translation. We first give a high level introduction to SL linguistics and MT to illustrate the requirements of automatic SL translation. Then, we present a systematic literature review of the state of the art in the domain. Finally, we outline important challenges for future research. We find that significant advances have been made on the shoulders of spoken language MT research. However, current approaches often lack linguistic motivation or are not adapted to the different characteristics of SLs. We explore challenges related to the representation of SL data, the collection of datasets and the evaluation of SL translation models. We advocate for interdisciplinary research and for grounding future research in linguistic analysis of SLs. Furthermore, the inclusion of deaf and hearing end users of SL translation applications in use case identification, data collection, and evaluation, is of utmost importance in the creation of useful SL translation models.

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Custom Dataset Creation with Tensorflow Framework and Image Processing for Google T-Rex

Bajpai

2020

2020 12th International Conference on Computational Intelligence and Communication Networks (CICN)

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Low Cost Full Duplex Wireless Glove for Static and Trajectory Based American Sign Language Translation to Multimedia Output

Cited by 4 publications

References 8 publications

A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

Machine translation from signed to spoken languages: state of the art and challenges

Custom Dataset Creation with Tensorflow Framework and Image Processing for Google T-Rex

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