[PDF][PDF] Hybrid FiST_CNN approach for feature extraction for vision-based indian sign language recognition.
Indian Sign Language (ISL) is the commonly used language by the deaf-mute community in
the Indian continent. Effective feature extraction is essential for the automatic recognition of …
the Indian continent. Effective feature extraction is essential for the automatic recognition of …
A static hand gesture based sign language recognition system using convolutional neural networks
D Hatibaruah, AK Talukdar… - 2020 IEEE 17th India …, 2020 - ieeexplore.ieee.org
Sign language (SL) is the basic means by which deaf and dumb person communicate.
However, these SLs are not known to the majority of healthy people. In our paper, we have …
However, these SLs are not known to the majority of healthy people. In our paper, we have …
Indian alphabets and digits sign recognition using pretrained model
Deaf community uses sign language as their natural language and also as their first
language. Indian sign language (ISL) is primary language for deaf people of India, which …
language. Indian sign language (ISL) is primary language for deaf people of India, which …
Hybrid FAST-SIFT-CNN (HFSC) approach for vision-based Indian sign language recognition
: Indian Sign Language (ISL) is the conventional means of communication for the deaf-mute
community in the Indian subcontinent. Accurate feature extraction is one of the prime …
community in the Indian subcontinent. Accurate feature extraction is one of the prime …
Convolutional Neural Network for Halal Detection of Korean Cosmetic Composition
DR Ramdania, RM Aziz, E Mulyana… - … on Wireless and …, 2022 - ieeexplore.ieee.org
Korean cosmetics occupy the position as the best and most favorite cosmetics in Indonesia
with a user percentage of 46.6%, beating domestic cosmetics with 34.1%. Unfortunately …
with a user percentage of 46.6%, beating domestic cosmetics with 34.1%. Unfortunately …
Interaction with IoT comfort technologies for deaf and dumb people
Sign language is usually spoken by the deaf and dumb community. However, there are
many available constraints in this. The first being that there are around 138 to 300 total sign …
many available constraints in this. The first being that there are around 138 to 300 total sign …
IncepForest: A Novel Approach for Sign Language Recognition with Transfer and Ensemble Learning
Recent advances in the field of the human-computer interface have sparked a surge of
interest in hand gesture detection due to its inherent flexibility and user-friendliness. Gesture …
interest in hand gesture detection due to its inherent flexibility and user-friendliness. Gesture …
A Deep Learning-Based Approach to Classification of Baby Sign Language Images
S Nadgeri, A Kumar - International Journal of Computer Vision and …, 2022 - igi-global.com
Abstract Baby Sign Language is used by hearing parents to hearing infants as a preverbal
communication which reduce frustration of parents and accelerated learning in babies …
communication which reduce frustration of parents and accelerated learning in babies …
Convolutional Neural Network for Halal Detection of Korean Cosmetic Composition
D Rauda Ramdania, RM Aziz, E Mulyana, FM Kaffah… - 2022 - etheses.uinsgd.ac.id
Korean cosmetics occupy the position as the best and most favorite cosmetics in Indonesia
with a user percentage of 46.6%, beating domestic cosmetics with 34.1%. Unfortunately …
with a user percentage of 46.6%, beating domestic cosmetics with 34.1%. Unfortunately …
[PDF][PDF] DEEP LEARNING BASED FRAMEWORK FOR DYNAMIC BABY SIGN LANGUAGE RECOGNITION SYSTEM
S Nadgeri, A Kumar - ijcse.com
In spite of Sign language being widely used by the Deaf and Hard of Hearing communities,
this paper illustrates a different application of sign language, namely Baby Sign Language …
this paper illustrates a different application of sign language, namely Baby Sign Language …