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Session AI and Data Analysis Ⅱ

AI Model for Bidirectional Sign Language Translation

원문정보

Gayeon Jeon, Beommo Kim, Hongjo Ahn, Minsung Jung, Byung-Joo Shin

한국차세대컴퓨팅학회 한국차세대컴퓨팅학회 학술대회 The 9th International Conference on Next Generation Computing 2023 2023.12 pp.249-252
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

The problem of discrimination due to information alienation among Korean sign language users is continuously mentioned, and sign language translation research is actively being conducted to solve this problem. However, due to technological limits in translating text into Korean Sign Language, the need for specialist equipment causes annoyance and spatial constraints. Furthermore, it isn't easy to replicate the vocabulary and grammatical structure of the Korean language in Korean Sign Language. Furthermore, the service's commercialization is complicated by the need for more nonmanual signal (NMS) identification technology.

목차

Abstract
I. INTRODUCTION
II. RELATED WORKS
III. METHODS
A. DATASET
B. Model for Bidirectional Sign Language Translation
C. Sign language Video Sign word Translation
D. Korean sentences Sign Language Translation
E. Experiment setup
IV. EXPERIMENT RESULT
A. Evaluation Criteria
B. Result
V. CONCLUSIONS
ACKNOWLEDGMENT
REFERENCES

키워드

저자정보

  • Gayeon Jeon dept. of public Admininstracname Kyungnam university
  • Beommo Kim dept. of Computer Science & Engineering Kyungnam university
  • Hongjo Ahn dept. of Computer Science & Engineering Kyungnam university
  • Minsung Jung dept. of Computer Science & Engineering Kyungnam university
  • Byung-Joo Shin dept. of Computer Science & Engineering Kyungnam university

참고문헌

자료제공 : 네이버학술정보

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