Wisesa, Bradika Almandin and Andriyani, Widyastuti and P., Bambang Purnomosidi D. (2022) Usage of LSTM Method On Hand Gesture Recognition For Easy Learning of Sign Language Based On Desktop Via Webcam. In: International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 8-9 Desember 2022, Universitas Teknologi Digital Indonesia.
Text (Usage of LSTM Method On Hand Gesture Recognition For Easy Learning of Sign Language Based On Desktop Via Webcam)
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Abstract
This paper implements hand gesture recognition for some words in Sistem Isyarat Bahasa Indonesia (SIBI). Trained hand gesture images are created based on words that can be recognized on system ('air', 'api', 'bagaimana', 'burung', 'dengar', 'film', 'halo', 'jumpa', 'kasih', 'kucing', 'makan', 'mandi', 'nasi', 'pagi', 'sapi' ,'saya', 'selamat'). The lack of interactive sign language learning media makes it difficult for the deaf to find support for interactive sign language learning. Therefore, SIBI sign language interactive learning media is needed that can support interactive learning with computers. LSTM method is used on this system to avoid vanishing gradient issues. Keywords: hand gesture, recognition, SIBI, LSTM.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Penulis: Bradika Almandin Wisesa, Widyastuti Andriyani, dan Bambang Purnomosidi D. P. |
Uncontrolled Keywords: | hand gesture, recognition, SIBI, LSTM. |
Subjects: | A Karya Umum (General) > Ilmu Komputer (Computer Science) > Kecerdasan Buatan (Artificial Intelegence) A Karya Umum (General) > Ilmu Komputer (Computer Science) > Pola Pengenalan Komputer (Pattern Recognation) |
Divisions: | Prosiding (Proceedings) |
Depositing User: | Titis Pratiwi |
Date Deposited: | 03 Apr 2023 01:55 |
Last Modified: | 03 Apr 2023 01:55 |
URI: | http://eprints.utdi.ac.id/id/eprint/9950 |
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