Circuits and Systems

Circuits and Systems

ISSN Print: 2153-1285
ISSN Online: 2153-1293
www.scirp.org/journal/cs
E-mail: cs@scirp.org
"An Efficient Framework for Indian Sign Language Recognition Using Wavelet Transform"
written by Mathavan Suresh Anand, Nagarajan Mohan Kumar, Angappan Kumaresan,
published by Circuits and Systems, Vol.7 No.8, 2016
has been cited by the following article(s):
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[1] A comprehensive survey and taxonomy of sign language research
Alfy, H Luqman - Engineering Applications of Artificial Intelligence, 2022
[2] Real time Indian sign language recognition system
Materials Today: Proceedings, 2022
[3] Hand Gesture Recognition for Disabled Person with Speech Using CNN
Intelligent Data Communication Technologies …, 2022
[4] Machine learning methods for sign language recognition: A critical review and analysis
Intelligent Systems with …, 2021
[5] Development of Smart Glove for Deaf-mute People
… & ESSENTIAL OILS …, 2021
[6] Hand Gesture Recognition using TOF camera
2021
[7] Omilia-The Sign Language Converter
2021
[8] Integrative Review on Vision-Based Dynamic Indian Sign Language Recognition Systems
2021
[9] Neural Network Based Sign Language Recognition Using Verilog HDL
International Journal of Engineering Research And Management, 2019
[10] Embedded Signcommunication Recognition Using KNN and HMM-VITERBI Fusion Classifiers
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[11] HAND GESTURES RECOGNITION CONVERSION TO SPEECH
2019
[12] A RESEARCH GAP ON AUTOMATIC INDIAN SIGN LANGUAGE RECOGNITION BASED ON HAND GESTURE DATASETS AND METHODOLOGIES
2018
[13] Survey Paper on Vision based Hand Gesture Recognition
2018
[14] Sign to speak--hand shape descriptors and speech translation technique based tamil alphabet fingerspelling recognition system
2017
[15] MULTIMODAL FEATURES AND HYBRID CLASSIFICATION FOR INDIAN SIGN LANGUAGE RECOGNITION
International Journal of Pharmacy & Technology, 2017
[16] Applying Hand Gesture Recognition for Learning Sign Words Using Mediapipe by Extracting Keypoints and Distance Based Features from Hand Landmark Estimation
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