American sign language-based finger-spelling recognition using k-Nearest Neighbors classifier

2015 ◽  
Author(s):  
Dewinta Aryanie ◽  
Yaya Heryadi
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Nearest Neighbors ◽  
American Sign ◽  
K Nearest Neighbors ◽  
Finger Spelling Recognition

scholarly journals Implementasi LDA pada fitur HOG untuk Klasifikasi ASL Menggunakan K-NN

2020 ◽  
Vol 7 (2) ◽  
pp. 214-225
Author(s):  
Muhammad Ezar Al Rivan ◽  
Hafiz Irsyad ◽  
Kevin Kevin ◽  
Arta Tri Narta
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Nearest Neighbors ◽  
Manhattan Distance ◽  
American Sign ◽  
Histogram Of Oriented Gradients ◽  
K Nearest Neighbors ◽  
Linear Discriminant

Sign language merupakan suatu cara alternatif yang bisa digunakan untuk berkomunikasi dengan menggunakan isyarat, salah satu jenisnya yaitu American Sign Language (ASL). Dataset sign language yang digunakan yaitu dalam bentuk dataset citra yang diproses menggunakan ekstraksi fitur Histogram of Oriented Gradients (HOG) dan selanjutnya direduksi menggunakan Linear Discriminant Analsysis (LDA). Selanjutnya hasil reduksi digunakan untuk klasifikasi K-Nearest Neighbors (k-NN). Tiga jenis distance yang digunakan yaitu euclidean, manhattan dan chebyshev. Hasil terbaik diperoleh menggunakan manhattan distance dengan nilai K = 3 dengan presisi sebesar 72,42 %.

scholarly journals Pengenalan Alfabet American Sign Language Menggunakan K-Nearest Neighbors Dengan Ekstraksi Fitur Histogram Of Oriented Gradients

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Muhammad Ezar Al Rivan ◽  
Hafiz Irsyad ◽  
Kevin Kevin ◽  
Arta Tri Narta
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Euclidean Distance ◽  
Nearest Neighbor ◽  
Manhattan Distance ◽  
American Sign ◽  
K Nearest Neighbor ◽  
K Nearest Neighbors ◽  
Histogram Of Oriented Gradient ◽  
Chebychev Distance

Sign Language use to communicate to people with dissabilities. American Sign Language (ASL) one of popular sign language. Histogram of Oriented Gradient (HOG) can be use as feature extraction. Then feature stored in database. K-Nearest Neighbor use to measure distance between feature train and feature test. There are three distance use in this paper consist of Euclidean Distance, Manhattan Distance and Chebychev Distance. The best result are 0,99 when using Euclidean Distance and Manhattan Distance with k=3 dan k=5

Spatial and temporal dynamics of lexico-semantic processing in American Sign Language

2011 ◽  
Author(s):  
M. Leonard ◽  
N. Ferjan Ramirez ◽  
C. Torres ◽  
M. Hatrak ◽  
R. Mayberry ◽  
...  
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Semantic Processing ◽  
Temporal Dynamics ◽  
American Sign ◽  
Spatial And Temporal Dynamics

Patient Health Questionnaire-9--American Sign Language Version

2018 ◽  
Author(s):  
Leslie Pertz ◽  
Missy Plegue ◽  
Kathleen Diehl ◽  
Philip Zazove ◽  
Michael McKee
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Patient Health Questionnaire ◽  
American Sign ◽  
Health Questionnaire ◽  
Language Version ◽  
Patient Health

scholarly journals Systematic Literature Review: American Sign Language Translator

2021 ◽  
Vol 179 ◽  
pp. 541-549
Author(s):  
Andra Ardiansyah ◽  
Brandon Hitoyoshi ◽  
Mario Halim ◽  
Novita Hanafiah ◽  
Aswin Wibisurya
Keyword(s):  
Literature Review ◽  
American Sign Language ◽  
Sign Language ◽  
Systematic Literature Review ◽  
American Sign
Sign in / Sign up

Export Citation Format

Share Document