• Title/Summary/Keyword: Learning Aids Platform

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APEC SEN Maritime English Communication Packages

  • 황선애;설진기;서영정;정희수;최승희
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.361-362
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    • 2022
  • As the importance of maritime communication in a cross-cultural onboard working environment grows, the importance of developing systematic supporting aids both for learning and teaching maritime English has been emphasized. Given that English communication proficiency is one of the most critical factors in determining a seafarer's competency, a systemic supporting system for enhancing maritime English communication capabilities is essential not only for them to professionally carry out and conduct assigned duties onboard, but also for them to navigate success in their lives through increased labour mobility both at sea and onshore. The APEC Seafarers Excellence Network initiates the production of Maritime English Communication Packages for seafarers in APEC regions, under the leadership of the Republic of Korea. This paper introduces the design of APEC SEN Maritime English Communication Packages, which include textbooks, audio-lingual materials, online/mobile life-long learning platform and testing aids, ultimately for upand re-skilling of seafarers to increase their employability, mobility and preparedness for the future shipping industry where globalisation is expected to further accelerate.

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Development of a Sign Language Learning Assistance System using Mediapipe for Sign Language Education of Deaf-Mutility (청각장애인의 수어 교육을 위한 MediaPipe 활용 수어 학습 보조 시스템 개발)

  • Kim, Jin-Young;Sim, Hyun
    • 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.