CROSS-LANGUAGE TRANSFER LEARNING USING VISUAL INFORMATION FOR AUTOMATIC SIGN GESTURE RECOGNITION

10 citations as recorded by crossref.

1. Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application L. Al Khuzayem et al. 10.3390/s24103112
2. The Comfort and Measurement Precision-Based Multi-Objective Optimization Method for Gesture Interaction W. Wang et al. 10.3390/bioengineering10101191
3. SML: A Skeleton-based multi-feature learning method for sign language recognition Z. Deng et al. 10.1016/j.knosys.2024.112288
4. A two-stream sign language recognition network based on keyframe extraction method T. Liu et al. 10.1016/j.eswa.2024.124268
5. Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System Y. Meng et al. 10.3390/s24196262
6. A Review of Recent Advances on Deep Learning Methods for Audio-Visual Speech Recognition D. Ivanko et al. 10.3390/math11122665
7. TMS-Net: A multi-feature multi-stream multi-level information sharing network for skeleton-based sign language recognition Z. Deng et al. 10.1016/j.neucom.2023.127194
8. EMOLIPS: Towards Reliable Emotional Speech Lip-Reading D. Ryumin et al. 10.3390/math11234787
9. A signer-independent sign language recognition method for the single-frequency dataset T. Liu et al. 10.1016/j.neucom.2024.127479
10. Intelligent Gesture Recognition Based on Screen Reflectance Multi-Band Spectral Features P. Lin et al. 10.3390/s24175519