An Analytical Study of Signs Used in Baby Sign Language Using Mobilenet Framework

2020 ◽  
Author(s):  
Sulochana Nadgeri ◽  
Arun Kumar
Keyword(s):  
Sign Language ◽  
Analytical Study ◽  
Baby Sign ◽  
Baby Sign Language

scholarly journals A Deep Learning based approach to classification of Baby Sign Language images

2022 ◽  
Vol 12 (1) ◽  
pp. 0-0
Keyword(s):  
Neural Network ◽  
Sign Language ◽  
Gradient Descent ◽  
Processing Time ◽  
Research Work ◽  
Accelerated Learning ◽  
Baby Sign ◽  
Hearing Parents ◽  
Baby Sign Language

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, increases parent-child bonding, and lets babies communicate vital information, such as if they are hurt or hungry is known as a Baby Sign Language . In the current research work, a study of various existing sign language has been carried out as literature and then after realizing that there is no dataset available for Baby Sign Language, we have created a static dataset for 311 baby signs, which were classified using a MobileNet V1, pretrained Convolution Neural Network [CNN].The focus of the paper is to analyze the effect of Gradient Descent based optimizers, Adam and its variants, Rmsprop optimizers on fine-tuned pretrained CNN model MobileNet V1 that has been trained using customized dataset. The optimizers are used to train and test on MobileNet for 100 epochs on the dataset created for 311 baby Signs. These 10 optimizers Adadelta, Adam, Adamax, SGD, Adagrad, RMSProp were compared based on their processing time.

Baby Sign Language

2011 ◽  
Vol 45 (12) ◽  
pp. 20
Author(s):  
LEE SAVIO BEERS
Keyword(s):  
Sign Language ◽  
Baby Sign ◽  
Baby Sign Language

scholarly journals Employment of baby sign language in interactive learning for Hearing-impaired people in Malaysia

2020 ◽  
Vol 18 (1) ◽  
pp. 361
Author(s):  
N. T. J. Ong ◽  
Ali S. H. A ◽  
Yusoff A. H. M.
Keyword(s):  
Sign Language ◽  
Recognition System ◽  
Hearing Impaired ◽  
Hand Gesture ◽  
Baby Sign ◽  
Face Region ◽  
Hand Shape ◽  
The Face ◽  
Skin Colour Model ◽  
Baby Sign Language

<span lang="EN-GB">Communication is very important for people including adults and babies to exchange their thoughts, views and information. They can express their thoughts verbally and non-verbally. Baby sign language is non-verbal type that consists of a set of standard and organised form of hand gestures motion to represent different word. This language allows the children who have hearing impairment problem to communicate with others. In addition, it can also be taught to normal babies to convey their need before they have the ability to speak. It is very challenging for adults to understand babies and children with hearing impaired problem. Thus, a real-time hand gesture recognition system has been developed for adult to interactively learn the baby sign language. Firstly, the face region was detected in order to use the skin colour model of the face to detect the hand. After that, the hand shape was determined by finding the palm centre and convex hull. Convexity defects which representing gaps between the fingers were used to determine the number of fingertips whereas the movement of the hand was detected based on motion analysis. By setting the background colour to blue and adding extra light in front of the laptop, the system successfully obtained an accuracy higher than 85% rate for sign “mom”, “eat” and “milk” when tested on Malay, Chinese and Indian races in Malaysia.</span>

Understanding the Communication Needs of Culturally and Linguistically Diverse Students Who Are Deafblind

2017 ◽  
Vol 2 (12) ◽  
pp. 81-88
Author(s):  
Sandy K. Bowen ◽  
Silvia M. Correa-Torres
Keyword(s):  
Sign Language ◽  
Augmentative And Alternative Communication ◽  
Linguistically Diverse ◽  
Spoken Language ◽  
Culturally And Linguistically Diverse ◽  
Alternative Communication ◽  
Linguistically Diverse Students ◽  
The Past ◽  
Communication Needs ◽  
Different Cultures

America's population is more diverse than ever before. The prevalence of students who are culturally and/or linguistically diverse (CLD) has been steadily increasing over the past decade. The changes in America's demographics require teachers who provide services to students with deafblindness to have an increased awareness of different cultures and diversity in today's classrooms, particularly regarding communication choices. Children who are deafblind may use spoken language with appropriate amplification, sign language or modified sign language, and/or some form of augmentative and alternative communication (AAC).

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