• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.53-69
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• 2024

This study was attempted to promote changes in traditional design education at a time when non-face-to-face education is necessary, such as digitalization, rapid social structure change, and post-COVID-19 situations, and to meet the demands of the times when user-centered design is more emphasized. Therefore, the goal of this study is to explore the process of developing mobile apps and operating education for deaf learners through design thinking-based interaction design education for design students. Specifically, the curriculum was designed by selecting a design thinking methodology suitable for major students to experience empathy and solutions to user problems. The subject that students majoring in this study want to sympathize with is deaf learners, and the subject of the curriculum is the development of educational support applications for deaf learners. Accordingly, a mobile app prototype that can support online learning for deaf learners was created based on the interaction design education plan designed based on design thinking. In addition, after collecting and analyzing the feedback of deaf learners to evaluate the prototype effectiveness, the final mobile app prototype was presented as an output. Through this process, interactive design education based on design thinking helped to strengthen the ability to empathize with and solve the needs of deaf learners to major students and improve the design learning experience. Based on these findings, if a methodology suitable for various user groups is selectively accepted for design education, the students in the major will have the ability to design by prioritizing the actual needs of users despite changes in the environment of the future design society.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1355-1362
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• 2021

Recently, not only congenital hearing impairment, but also the number of people with hearing impairment due to acquired factors is increasing. The environment in which sign language can be learned is poor. Therefore, this study intends to present a sign language (sign language number/sign language text) evaluation system as a sign language learning assistance tool for sign language learners. Therefore, in this paper, sign language is captured as an image using OpenCV and Convolutional Neural Network (CNN). In addition, we study a system that recognizes sign language behavior using MediaPipe, converts the meaning of sign language into text-type data, and provides it to users. Through this, self-directed learning is possible so that learners who learn sign language can judge whether they are correct dez. Therefore, we develop a sign language learning assistance system that helps us learn sign language. The purpose is to propose a sign language learning assistance system as a way to support sign language learning, the main language of communication for the hearing impaired.

• Journal of Advanced Navigation Technology
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• v.28 no.3
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• pp.369-374
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• 2024

This study aims to improve the accessibility and efficiency of sign language education for both hearing impaired and non-deaf people. To this end, we developed VR realistic sign language education content that integrates hand tracking technology and conversational AI. Through this content, users can learn sign language in real time and experience direct communication in a virtual environment. As a result of the study, it was confirmed that this integrated approach significantly improves immersion in sign language learning and contributes to lowering the barriers to sign language learning by providing learners with a deeper understanding. This presents a new paradigm for sign language education and shows how technology can change the accessibility and effectiveness of education.