A reading assistant system of Chinese text for persons with central visual field loss

Yiyang Yu, Yang Feng, Meng Wang, Qiong Wu, Yulong Liu, Jiajia Yang, Satoshi Takahashi, Yoshimichi Ejima, Jinglong Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Macular disease patients who lost central vision must use their peripheral vision to read slowly. There are some assistive methods proposed to improve their reading experience. Sequence word display methods like RSVP are suited to improve the reading performance of low vision people because it can reduce crowding effect, limit the visual span and do not need saccades. However, the performance of these methods in peripheral reading is not satisfactory. This study is aimed to design a reading assistant system that uses the new display method by fixed gaze to improve patient reading performance and test the effects of the new reading assistant software called NRSVP produced improvement in Chinese peripheral reading speed. Firstly, the software was designed to transform the display style of text in daily life. This software uses OCR and word segmentation technology to pre-process Chinese text, and then display the text word by word in NRSVP mode on the screen to help the central field vision loss patients to read quickly. Then the performance of the NRSVP was tested. Participants were asked to read the text by NRSVP and natural reading mode with a central-scotoma simulator. We analysed the reading rate (characters/min) of the participants simulated as central loss vision. There was an improvement in measures of oral reading speed (90%) with NRSVP than the natural reading mode. These findings illustrate the potential benefits of NRSVP as a reading aid method for the patients who loss central vision.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1102-1107
Number of pages6
ISBN (Electronic)9781728116983
DOIs
Publication statusPublished - Aug 1 2019
Event16th IEEE International Conference on Mechatronics and Automation, ICMA 2019 - Tianjin, China
Duration: Aug 4 2019Aug 7 2019

Publication series

NameProceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019

Conference

Conference16th IEEE International Conference on Mechatronics and Automation, ICMA 2019
CountryChina
CityTianjin
Period8/4/198/7/19

Fingerprint

Person
Display devices
Optical character recognition
Eye movements
Display
Software
Simulators
Saccades
Vision
Text
Simulator
Segmentation
Transform

Keywords

  • Central Visual Field Loss
  • Peripheral Reading
  • Reading Aid

ASJC Scopus subject areas

  • Signal Processing
  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence

Cite this

Yu, Y., Feng, Y., Wang, M., Wu, Q., Liu, Y., Yang, J., ... Wu, J. (2019). A reading assistant system of Chinese text for persons with central visual field loss. In Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019 (pp. 1102-1107). [8815967] (Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA.2019.8815967

A reading assistant system of Chinese text for persons with central visual field loss. / Yu, Yiyang; Feng, Yang; Wang, Meng; Wu, Qiong; Liu, Yulong; Yang, Jiajia; Takahashi, Satoshi; Ejima, Yoshimichi; Wu, Jinglong.

Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1102-1107 8815967 (Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yu, Y, Feng, Y, Wang, M, Wu, Q, Liu, Y, Yang, J, Takahashi, S, Ejima, Y & Wu, J 2019, A reading assistant system of Chinese text for persons with central visual field loss. in Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019., 8815967, Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 1102-1107, 16th IEEE International Conference on Mechatronics and Automation, ICMA 2019, Tianjin, China, 8/4/19. https://doi.org/10.1109/ICMA.2019.8815967
Yu Y, Feng Y, Wang M, Wu Q, Liu Y, Yang J et al. A reading assistant system of Chinese text for persons with central visual field loss. In Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1102-1107. 8815967. (Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019). https://doi.org/10.1109/ICMA.2019.8815967
Yu, Yiyang ; Feng, Yang ; Wang, Meng ; Wu, Qiong ; Liu, Yulong ; Yang, Jiajia ; Takahashi, Satoshi ; Ejima, Yoshimichi ; Wu, Jinglong. / A reading assistant system of Chinese text for persons with central visual field loss. Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1102-1107 (Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019).
@inproceedings{462ca12c3bd54e49ac32e4bd51d4ef79,
title = "A reading assistant system of Chinese text for persons with central visual field loss",
abstract = "Macular disease patients who lost central vision must use their peripheral vision to read slowly. There are some assistive methods proposed to improve their reading experience. Sequence word display methods like RSVP are suited to improve the reading performance of low vision people because it can reduce crowding effect, limit the visual span and do not need saccades. However, the performance of these methods in peripheral reading is not satisfactory. This study is aimed to design a reading assistant system that uses the new display method by fixed gaze to improve patient reading performance and test the effects of the new reading assistant software called NRSVP produced improvement in Chinese peripheral reading speed. Firstly, the software was designed to transform the display style of text in daily life. This software uses OCR and word segmentation technology to pre-process Chinese text, and then display the text word by word in NRSVP mode on the screen to help the central field vision loss patients to read quickly. Then the performance of the NRSVP was tested. Participants were asked to read the text by NRSVP and natural reading mode with a central-scotoma simulator. We analysed the reading rate (characters/min) of the participants simulated as central loss vision. There was an improvement in measures of oral reading speed (90{\%}) with NRSVP than the natural reading mode. These findings illustrate the potential benefits of NRSVP as a reading aid method for the patients who loss central vision.",
keywords = "Central Visual Field Loss, Peripheral Reading, Reading Aid",
author = "Yiyang Yu and Yang Feng and Meng Wang and Qiong Wu and Yulong Liu and Jiajia Yang and Satoshi Takahashi and Yoshimichi Ejima and Jinglong Wu",
year = "2019",
month = "8",
day = "1",
doi = "10.1109/ICMA.2019.8815967",
language = "English",
series = "Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1102--1107",
booktitle = "Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019",

}

TY - GEN

T1 - A reading assistant system of Chinese text for persons with central visual field loss

AU - Yu, Yiyang

AU - Feng, Yang

AU - Wang, Meng

AU - Wu, Qiong

AU - Liu, Yulong

AU - Yang, Jiajia

AU - Takahashi, Satoshi

AU - Ejima, Yoshimichi

AU - Wu, Jinglong

PY - 2019/8/1

Y1 - 2019/8/1

N2 - Macular disease patients who lost central vision must use their peripheral vision to read slowly. There are some assistive methods proposed to improve their reading experience. Sequence word display methods like RSVP are suited to improve the reading performance of low vision people because it can reduce crowding effect, limit the visual span and do not need saccades. However, the performance of these methods in peripheral reading is not satisfactory. This study is aimed to design a reading assistant system that uses the new display method by fixed gaze to improve patient reading performance and test the effects of the new reading assistant software called NRSVP produced improvement in Chinese peripheral reading speed. Firstly, the software was designed to transform the display style of text in daily life. This software uses OCR and word segmentation technology to pre-process Chinese text, and then display the text word by word in NRSVP mode on the screen to help the central field vision loss patients to read quickly. Then the performance of the NRSVP was tested. Participants were asked to read the text by NRSVP and natural reading mode with a central-scotoma simulator. We analysed the reading rate (characters/min) of the participants simulated as central loss vision. There was an improvement in measures of oral reading speed (90%) with NRSVP than the natural reading mode. These findings illustrate the potential benefits of NRSVP as a reading aid method for the patients who loss central vision.

AB - Macular disease patients who lost central vision must use their peripheral vision to read slowly. There are some assistive methods proposed to improve their reading experience. Sequence word display methods like RSVP are suited to improve the reading performance of low vision people because it can reduce crowding effect, limit the visual span and do not need saccades. However, the performance of these methods in peripheral reading is not satisfactory. This study is aimed to design a reading assistant system that uses the new display method by fixed gaze to improve patient reading performance and test the effects of the new reading assistant software called NRSVP produced improvement in Chinese peripheral reading speed. Firstly, the software was designed to transform the display style of text in daily life. This software uses OCR and word segmentation technology to pre-process Chinese text, and then display the text word by word in NRSVP mode on the screen to help the central field vision loss patients to read quickly. Then the performance of the NRSVP was tested. Participants were asked to read the text by NRSVP and natural reading mode with a central-scotoma simulator. We analysed the reading rate (characters/min) of the participants simulated as central loss vision. There was an improvement in measures of oral reading speed (90%) with NRSVP than the natural reading mode. These findings illustrate the potential benefits of NRSVP as a reading aid method for the patients who loss central vision.

KW - Central Visual Field Loss

KW - Peripheral Reading

KW - Reading Aid

UR - http://www.scopus.com/inward/record.url?scp=85072387376&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85072387376&partnerID=8YFLogxK

U2 - 10.1109/ICMA.2019.8815967

DO - 10.1109/ICMA.2019.8815967

M3 - Conference contribution

T3 - Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019

SP - 1102

EP - 1107

BT - Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019

PB - Institute of Electrical and Electronics Engineers Inc.

ER -