Publication: I-Math: An Intelligent Accessible Mathematics system for People with Visual Impairment
Issued Date
2013-07-16
Resource Type
Other identifier(s)
2-s2.0-85021344814
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Computational Approaches to Assistive Technologies for People with Disabilities. Vol.253, (2013), 83-108
Suggested Citation
Wararat Wongkia, Kanlaya Naruedomkul, Nick Cercone I-Math: An Intelligent Accessible Mathematics system for People with Visual Impairment. Computational Approaches to Assistive Technologies for People with Disabilities. Vol.253, (2013), 83-108. doi:10.3233/978-1-61499-258-5-83 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/31631
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
I-Math: An Intelligent Accessible Mathematics system for People with Visual Impairment
Author(s)
Other Contributor(s)
Abstract
We propose an intelligent accessible mathematics approach, called i- Math for people with visual impairment on reading math expressions in Thai. Math expressions in various forms were investigated for developing a set of rules to correctly read the math expressions. Our proposed approach has revealed it is possible to construct a practically automatic math expressions reading system by suitable technologies of speech processing. The i-Math system prototype was tested to generate the accurate speech (intelligibility and overall speech quality) for a math problem sample set and its usage (user satisfaction) was determined by voluntary participants, both students and teachers. The intelligibility indicated that i-Math can generate the understandable pronunciations for math text. Overall speech quality showed that the utterances read by i-Math are good quality and understandable with slight effort. The user satisfaction questionnaire can be included that the teachers and students had positive perceptions toward the use of i-Math.