Sign Language Recognition Using Keypoints Through DTW
Author:
Affiliation:
1. NMAMIT, Nitte,ISE,Karkala,India
2. NMAMIT, Nitte,CSE,Karkala,India
3. NMAMIT, Nitte,EE,Karkala,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10058606/10058619/10058664.pdf?arnumber=10058664
Reference22 articles.
1. Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition
2. Extraction of Hand Features for Recognition of Sign Language Words;tanibata;International Conference on Vision Interface,0
3. Deaf Mute Communication Interpreter-AReview;sunitha;International Journal of Applied Engineering Research,2016
4. Sign Languague Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language
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