Bisindo Alphabet Detection Using Mediapipe Holistic In Real-Time

Authors

  • Dani Pradana Kartaputra Sekolah Tinggi Manajemen Informatika dan Komputer Bandung Author
  • Herna Gunawan Sekolah Tinggi Manajemen Informatika dan Komputer Bandung Author
  • Asri Eka Lestari Sekolah Tinggi Manajemen Informatika dan Komputer Bandung Author

DOI:

https://doi.org/10.58761/jurtikstmikbandung.v12.i1.113

Keywords:

Mediapipe Holistic, Python, Jupyter notebook, handgesture

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).

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Published

2023-06-01

Issue

Vol. 12 No. 1 (2023): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi

Section

Articles

Categories

License

Copyright (c) 2023 Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Bisindo Alphabet Detection Using Mediapipe Holistic In Real-Time. (2023). Jurnal Penelitian Dan Pengembangan Teknologi Informasi Dan Komunikasi, 12(1), 46-52. https://doi.org/10.58761/jurtikstmikbandung.v12.i1.113