A System to Generate SignWriting for Video Tracks Enhancing Accessibility of Deaf People

Verdú, Elena; García-Bustelo, B. Cristina Pelayo; Sánchez, María Ángeles Martínez; Crespo, Rubén González

doi:10.9781/ijimai.2017.09.002

Cited by 11 publications

(6 citation statements)

References 17 publications

(28 reference statements)

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“…According to [3], there are more than 100 sign languages. Moreover, there is no a unified way of writing sign languages, being SignWriting a proposal on which some research work has been developed [4]. American Sign Language (ASL) is one of the most commonly used sign languages throughout the U.S. and Canada and also including Southeast Asia and West Africa.…”

Section: Introductionmentioning

confidence: 99%

Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks

Khari¹,

Garg²,

Crespo³

et al. 2019

IJIMAI

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In this era, the interaction between Human and Computers has always been a fascinating field. With the rapid development in the field of Computer Vision, gesture based recognition systems have always been an interesting and diverse topic. Though recognizing human gestures in the form of sign language is a very complex and challenging task. Recently various traditional methods were used for performing sign language recognition but achieving high accuracy is still a challenging task. This paper proposes a RGB and RGB-D static gesture recognition method by using a fine-tuned VGG19 model. The fine-tuned VGG19 model uses a feature concatenate layer of RGB and RGB-D images for increasing the accuracy of the neural network. Finally, on an American Sign Language (ASL) Recognition dataset, the authors implemented the proposed model. The authors achieved 94.8% recognition rate and compared the model with other CNN and traditional algorithms on the same dataset.

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Section: Introductionmentioning

confidence: 99%

Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks

Khari¹,

Garg²,

Crespo³

et al. 2019

IJIMAI

Self Cite

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“…Multimedia is widely used in education, such as e-learning [11]. However, people with disabilities and the elderly face serious problems accessing multimedia published on e-learning platforms [12], and in a general way, they face many barriers to accessing the multimedia published on the web [13]. In some cases, these barriers are created due to the lack of experience of developers in the field of web accessibility.…”

Section: Millionmentioning

confidence: 99%

Techniques for the Publication of Accessible Multimedia Content on the Web

2020

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Multimedia has become one of the most important sources of information and communication on the web. However, despite recent technological progress, people with disabilities and the elderly face difficulties accessing multimedia on the web. In some cases, these difficulties are impossible to overcome and are a fundamental cause of digital exclusion. Given the importance of this topic, several investigations on the problems of accessing multimedia resources have been carried out. Some organizations have also proposed certain standards to guide the creation and publication of accessible web content. Nevertheless, the authoring tools used in the process of publishing multimedia on the web do not offer all the accessibility features required. Authoring tools can also be used by people who do not have knowledge about web accessibility or programming, resulting in web publications lacking accessibility. This research proposes 278 novel techniques to guide authors, designers, programmers, and testers in the publication of accessible and inclusive multimedia on the web. These techniques are designed to guarantee the compliance with the recommended success criteria of Authoring Tools Accessibility Guidelines (ATAG) 2.0 of the World Wide Web Consortium. Moreover, these techniques can be used to evaluate the accessibility of the existing authoring tools used to create multimedia for the web. Additionally, we present 80 possible failures that can cause the non-fulfillment of ATAG 2.0. These failures can help authors discern what to avoid and help evaluators check whether particular multimedia is accessible. INDEX TERMS Accessibility, accessibility content, Authoring Tools Accessibility Guidelines (ATAG) 2.0, disabilities, e-learning, multimedia, techniques, World Wide Web Consortium (W3C).

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“…Especially the listings with a lot of text. For example, when this text implies actions or information, it is easier to understand if it is grouped [48].…”

Section: Recommendation H: Grouped Textual Listingsmentioning

confidence: 99%

Compliance and application tests of usability guidelines about giving information quickly and comprehensibly

Alonso-Virgós

Espada

Martínez

et al. 2020

Complex Intell. Syst.

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The objective of this publication is to analyze compliance with the web usability guidelines on Giving information quickly and comprehensibly. The behavior of 20 IT engineers without experience in web usability is analyzed to collect data on the application and compliance of each of the studied guidelines. The objectives are: (1) make a list of recommendations on the presentation of information and possible actions in a quickly understandable way. And highlight the most forgotten guidelines or the worst followed by web developers to think about the importance of offering specific training in this field. (2) Know the most important guidelines according to the participants themselves. To obtain the results, user tests are performed that evaluate the most ignored and applied guidelines. And its correct compliance is studied, since the participants do not have experience in web usability. Besides, interviews are conducted to find out which are the guidelines that they consider most important. It is expected to know if there are guidelines that apply intuitively and why. It is also intended to know if this innate application is helpful or compliance is wrong and needs specific training.

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A System to Generate SignWriting for Video Tracks Enhancing Accessibility of Deaf People

Cited by 11 publications

References 17 publications

Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks

Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks

Techniques for the Publication of Accessible Multimedia Content on the Web

Compliance and application tests of usability guidelines about giving information quickly and comprehensibly

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