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Asri Eka Lestari
STMIK Bandung
Computer Science & IT Decision Sciences, Operations Research & Management

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DETEKSI ALFABET BISINDO MENGGUNAKAN MEDIAPIPE HOLISTIC SECARA REAL-TIME Dani Pradana Kartaputra; Herna Gunawan; Asri Eka Lestari
Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 1 (2023): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v12i1.4652

Abstract

The resulting system will detect and classify gestures or movements that speak the B language contained in it directly using a holistic mediapipe to detect the skeleton on the hands, body, and face and use a landmark model of poses, faces and each to generate a total of 543 landmarks. (33 pose landmarks, 468 facial landmarks, and 21 hand landmarks).
Co-Authors Dani Pradana Kartaputra Herna Gunawan