Recognizing fingerspelling in SIBI (sistem isyarat bahasa Indonesia) using OpenPose and elliptical fourier descriptor

Author:

Firdaus Nanda Maulina1,Rakun Erdefi1

Affiliation:

1. Universitas Indonesia, Depok, Indonesia

Funder

PITTA B research grant from Directorate Research and Community Services, Universitas Indonesia

Publisher

ACM

Reference13 articles.

1. The Great-West Life Assurance Company 2007. "Verbal vs Non Verbal Communication". Retrieved from: https://www.workplacestrategiesformentalhealth.com/mmhm/pdf/articles/Verbal_vs_Non_Verbal_Communication.pdf. The Great-West Life Assurance Company 2007. "Verbal vs Non Verbal Communication". Retrieved from: https://www.workplacestrategiesformentalhealth.com/mmhm/pdf/articles/Verbal_vs_Non_Verbal_Communication.pdf.

2. Rachmawati 2017 Pusat Komunitas Tunarungu Rachmawati 2017 S. Darmawan and Murni 2017

3. Human Skeleton Feature Extraction from 2-Dimensional Video of Indonesian Language Sign System (SIBI [Sistem Isyarat Bahasa Indonesia]) Gestures

4. M. Harits Erdefi Rakun and D. Hardianto 2018. Feature Extraction from Smartphone Images by Using Elliptical Fourier Descriptor Centroid and Area for Recognizing Indonesian Sign Language SIBI (Sistem Isyarat Bahasa Indonesia). M. Harits Erdefi Rakun and D. Hardianto 2018. Feature Extraction from Smartphone Images by Using Elliptical Fourier Descriptor Centroid and Area for Recognizing Indonesian Sign Language SIBI (Sistem Isyarat Bahasa Indonesia).

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1. Advancing Total Communication in SIBI: A Proposed Conceptual Framework for Sign Language Translation;2023 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS);2023-11-02

2. Correction of Two Human Key-Points Estimations for Medical Applications;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

3. Towards improvement of baseline performance for regression based human pose estimation;Evolving Systems;2023-05-26

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