TY - GEN
T1 - EULER - Mathematical Editing by Voice Input for People with Visual Impairment
AU - Rivas-Perez, Tribeth
AU - Meza-Vega, Abraham
AU - Mora-Lezcano, Veronica
AU - Palacio-Amador, DIonisio
AU - Chacon-Rivas, Mario
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Access to mathematical content has been limited for the visually impaired population, since some of the technological tools to access information require specific skills, abilities and / or prior knowledge that exclude these people by impeding access to the tool. This paper presents a proposal to improve the accessibility of mathematics for people with visual disabilities, based on the use of information and communication technologies, that allows students to advance at their own learning style. This applied research in process has allowed us to identify alternatives to make mathematics accessible according to the needs of the population with visual disabilities, taking into account that the development is being carried out in a living lab of people with visual disabilities, so it is presented the implemented model of a voice input component in the mathematical editor called EULER, as an alternative to entering basic and compound mathematical expressions, which inturnare accessible in reading and editing. A learning model based on neural networks is used, for which voices of 145 volunteers were used for training. Currently three potential users have evaluated the development of the voice component in a functional way. As a result, opportunities for improvement are obtained in terms of accuracy and proximity when interpreting verbal commands. This research allows us to identify alternatives to make mathematics accessible.
AB - Access to mathematical content has been limited for the visually impaired population, since some of the technological tools to access information require specific skills, abilities and / or prior knowledge that exclude these people by impeding access to the tool. This paper presents a proposal to improve the accessibility of mathematics for people with visual disabilities, based on the use of information and communication technologies, that allows students to advance at their own learning style. This applied research in process has allowed us to identify alternatives to make mathematics accessible according to the needs of the population with visual disabilities, taking into account that the development is being carried out in a living lab of people with visual disabilities, so it is presented the implemented model of a voice input component in the mathematical editor called EULER, as an alternative to entering basic and compound mathematical expressions, which inturnare accessible in reading and editing. A learning model based on neural networks is used, for which voices of 145 volunteers were used for training. Currently three potential users have evaluated the development of the voice component in a functional way. As a result, opportunities for improvement are obtained in terms of accuracy and proximity when interpreting verbal commands. This research allows us to identify alternatives to make mathematics accessible.
KW - Human Computer Interaction
KW - Mathematical Editor
KW - Neural Networks
KW - Visual Disability
KW - Voice input
UR - http://www.scopus.com/inward/record.url?scp=85079271126&partnerID=8YFLogxK
U2 - 10.1109/CONTIE49246.2019.00012
DO - 10.1109/CONTIE49246.2019.00012
M3 - Contribución a la conferencia
AN - SCOPUS:85079271126
T3 - Proceedings - 2019 International Conference on Inclusive Technologies and Education, CONTIE 2019
SP - 9
EP - 14
BT - Proceedings - 2019 International Conference on Inclusive Technologies and Education, CONTIE 2019
A2 - Carreno-Leon, Monica Adriana
A2 - Sandoval-Bringas, Jesus Andres
A2 - Chacon-Rivas, Mario
A2 - Alvarez-Rodriguez, Francisco Javier
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Inclusive Technologies and Education, CONTIE 2019
Y2 - 30 October 2019 through 1 November 2019
ER -