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Advisor(s)
Abstract(s)
This paper presents a study on potential technology solutions for enhancing the communication process for deaf people on e-learning platforms through translation of Sign Language (SL). Considering SL in its global scope as a spatial-visual language not limited to gestures or hand/forearm movement, but also to other non-dexterity markers such as facial expressions, it is necessary to ascertain whether the existing technology solutions can be effective options for the SL integration on e-learning platforms. Thus, we aim to present a list of potential technology options for the recognition, translation and presentation of SL (and potential problems) through the analysis of assistive technologies, methods and techniques, and ultimately to contribute for the development of the state of the art and ensure digital inclusion of the deaf people in e-learning platforms. The analysis show that some interesting technology solutions are under research and development to be available for digital platforms in general, but yet some critical challenges must solved and an effective integration of these technologies in e-learning platforms in particular is still missing.
Description
Procedia Computer Science disseminates high quality conference proceedings across all topics of Computer Science research. Selected conference proceedings are published open access in a dedicated online Procedia volume on ScienceDirect.
Proceedings of the 6th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion.
Proceedings of the 6th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion.
Keywords
Inclusion e-Learning Sign Language Deaf people Assistive technologies
Pedagogical Context
Citation
Martins, Paulo & Rodrigues, Henrique & Rocha, Tania & Francisco, Manuela & Morgado, Leonel. (2015). Accessible Options for Deaf People in e-Learning Platforms: Technology Solutions for Sign Language Translation. Procedia Computer Science. 67. 263-272. 10.1016/j.procs.2015.09.270.
Publisher
Elsevier
