{"title":"Passive Haptic Learning of Taiwanese Braille Writing for Visually Impaired Individuals","authors":"C. Chou, Yi-Zeng Hsieh, Shih-Syun Lin, Tao-Jen Yang, Wei-An Chen, Yung-Long Chu, Hong-Lin Chang","doi":"10.2352/j.imagingsci.technol.2021.65.2.020402","DOIUrl":null,"url":null,"abstract":"Abstract In this article, a passive haptic learning method for Taiwanese Braille writing was developed for visually impaired individuals through the employment of an effective user-friendly learning strategy. This system was designed with portability and low cost by applying\n the learning concept of passive haptic learning. This system designed a pair of gloves for visually impaired people to study Braille writing. Furthermore, we also designed a Braille writing teaching system for visually impaired people to learn and practice the Braille writing. Depending on\n the learning content, the corresponding vibration motors on the glove fingertips vibrate to produce the Taiwan Braille input gestures. The visually impaired people then feel tactile vibration feedback from the glove fingertips. In addition, the corresponding auditory feedback is provided from\n the Braille writing teaching system. After receiving a series of tactile vibration feedback, user’s finger muscles could memorize the corresponding Braille input gestures by the passive haptic learning. In the practice mode, the teaching system randomly selects practice content and announces\n the selected content in an auditory manner. Visually impaired users must then input the corresponding Braille codes by using the Braille writing input module. This mode can further reinforce users’ memorization of correct Braille codes for Mandarin characters.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":"65 1","pages":"20402-1-20402-9"},"PeriodicalIF":0.6000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Imaging Science and Technology","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.2352/j.imagingsci.technol.2021.65.2.020402","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract In this article, a passive haptic learning method for Taiwanese Braille writing was developed for visually impaired individuals through the employment of an effective user-friendly learning strategy. This system was designed with portability and low cost by applying
the learning concept of passive haptic learning. This system designed a pair of gloves for visually impaired people to study Braille writing. Furthermore, we also designed a Braille writing teaching system for visually impaired people to learn and practice the Braille writing. Depending on
the learning content, the corresponding vibration motors on the glove fingertips vibrate to produce the Taiwan Braille input gestures. The visually impaired people then feel tactile vibration feedback from the glove fingertips. In addition, the corresponding auditory feedback is provided from
the Braille writing teaching system. After receiving a series of tactile vibration feedback, user’s finger muscles could memorize the corresponding Braille input gestures by the passive haptic learning. In the practice mode, the teaching system randomly selects practice content and announces
the selected content in an auditory manner. Visually impaired users must then input the corresponding Braille codes by using the Braille writing input module. This mode can further reinforce users’ memorization of correct Braille codes for Mandarin characters.
期刊介绍:
Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include:
Digital fabrication and biofabrication;
Digital printing technologies;
3D imaging: capture, display, and print;
Augmented and virtual reality systems;
Mobile imaging;
Computational and digital photography;
Machine vision and learning;
Data visualization and analysis;
Image and video quality evaluation;
Color image science;
Image archiving, permanence, and security;
Imaging applications including astronomy, medicine, sports, and autonomous vehicles.