Sign language recognition with recurrent neural network using human keypoint detection

Author:

Ko Sang-Ki1,Son Jae Gi1,Jung Hyedong1

Affiliation:

1. Korea Electronics Technology Institute, Republic of Korea

Publisher

ACM

Reference11 articles.

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Savitar: an intelligent sign language translation approach for deafness and dysphonia in the COVID-19 era;Data Technologies and Applications;2023-07-07

2. Synthetic Smartwatch IMU Data Generation from In-the-wild ASL Videos;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-06-12

3. Querying A Sign Language Dictionary with Videos Using Dense Vector Search;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

4. A review on computational methods based automated sign language recognition system for hearing and speech impaired community;Concurrency and Computation: Practice and Experience;2023-03

5. Evaluating the Pertinence of Pose Estimation model for Sign Language Translation;International Journal of Computational Intelligence and Applications;2023-03

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