The numbers’ sign language detection based on deep learning

Lian Li; Sheng Tang

doi:10.1117/12.3005208

20 October 2023 The numbers’ sign language detection based on deep learning

Lian Li, Sheng Tang

Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 129161S (2023) https://doi.org/10.1117/12.3005208
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China

Abstract

This paper builds an end-to-end custom object detection model that could translate Chinese numbers’ sign language in real time based on deep leaning. The main work of this paper is as follows, collect images for deep learning using OpenCV, label images for sign language detection using LabelImg, setup Tensorflow Object Detection pipeline configuration, and use transfer learning to train a deep learning model. At last, detect sign language in real time using OpenCV.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lian Li and Sheng Tang "The numbers’ sign language detection based on deep learning", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 129161S (20 October 2023); https://doi.org/10.1117/12.3005208

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