scholarly journals Performance Analysis on Hand Gesture Recognition Using Artificial Neural Network

2020 ◽  
Vol 4 (5) ◽  
pp. 13
Author(s):  
Win Kay Khaing
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Performance Analysis ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Artificial Neural

scholarly journals Implementation of Real-Time Static Hand Gesture Recognition Using Artificial Neural Network

2017 ◽  
Vol 11 (2) ◽  
pp. 85 ◽  
Author(s):  
Lita Yusnita ◽  
Rosalina Rosalina ◽  
Rusdianto Roestam ◽  
R. B. Wahyu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Gesture Recognition ◽  
Training Model ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Accuracy Rate ◽  
Question Mark ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

This paper implements static hand gesture recognition in recognizing the alphabetical sign from “A” to “Z”, number from “0” to “9”, and additional punctuation mark such as “Period”, “Question Mark”, and “Space” in Sistem Isyarat Bahasa Indonesia (SIBI). Hand gestures are obtained by evaluating the contourrepresentation from image segmentation of the glove wore by user. Then, it is classified using Artificial Neural Network (ANN) based on the training model previously built from 100 images for each gesture. The accuracy rate of hand gesture translation is calculated to be 90%. Moreover, speech translation recognizes NATO phonetic letter as the speech input for translation.

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