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| Bimonthly Since 1986 |
ISSN 1004-9037
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| Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
TheSign-Language is to help people with hearing or speaking disabilities who cannot communicate well with other people. The study proposed to help people with such disabilities using Emoji Sign-Language with the corresponding hand gesture. Deaf individuals will be able to communicate or interact with other people conveniently. The study proposed emoji hand gesture detection trained by using the YOLOv8 algorithm that aims to detect hand gestures that can recognize their equivalent hand emojis. The study tools such as LabelImg for annotating the data set, categorizing each image of hand gestures based on their equivalent Hand emojis.
Keyword
hand sign language, hand emojis, object detection, yolov8, CNN.
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