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All Journal Jurnal Ilmu Komputer dan Informasi TEKNOLOGI INFORMASI Jurnal Teknologi Informasi dan Ilmu Komputer SMARTICS Journal INOVTEK Polbeng - Seri Informatika SENTIA 2016 SENTIA 2015 Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Teknologi Informasi dan Terapan (J-TIT) Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat BHAKTI PERSADA Jurnal Aplikasi IPTEKS (Journal of Applied Sciences and Technology) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal INFOTEL Jurnal Informatika Polinema (JIP)
Rahmad, Cahya
Politeknik Negeri Malang
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Journal : MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA

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PowerPoint slideshow navigation control with hand gestures using Hidden Markov Model method Cahya Rahmad; Arief Prasetyo; Riza Awwalul Baqy
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 1 (2022): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.553 KB) | DOI: 10.31940/matrix.v12i1.7-18

Abstract

Gesture is the easiest and most expressive way of communication between humans and computers, especially gestures that focus on hand and facial movements. Users can use simple gestures to communicate their ideas with a computer without interacting physically. One form of communication between users and machines is in the teaching and learning process in college. One of them is the way the speakers deliver material in the classroom. Most speakers nowadays make use of projectors that project PowerPoint slides from a connected laptop. In running the presentation, the speaker needs to move a slide from one slide to the next or to the previous slide. Therefore, a hand gesture recognition system is needed so it can implement the above interactions. In this study, a PowerPoint navigation control system was built. Digital imaging techniques use a combination of methods. The YCbCr threshold method is used to detect skin color. Furthermore, the morphological method is used to refine the detection results. Then the background subtraction method is used to detect moving objects. The classification method uses the Hidden Markov Model (HMM). With 526 hand images, the result shows that the accuracy of the confusion matrix is 74.5% and the sensitivity is 76.47%. From the accuracy and sensitivity values, it can be concluded that the Hidden Markov Model method can detect gestures quite well as a PowerPoint slide navigation control.
Co-Authors A. Shabrina Afrah Ade Putra Lesmana Affandi, Luqman Afrah, A. Shabrina Ahmad Alfian Alfian Ahya, Anugrah Vito Amanda Patria Putra Ananta, Ahmadi Yuli Andriani Parastiwi Anik N. Handayani Annisa Puspa Kirana Anugrah Vito Ahya Ariadi Retno Tri Arief Prasetyo Arwin Datumaya Wahyudi Sumari Asrori Asrori Astiningrum, Mungki Banni Satria Andoko Banni Satria Andoko Banni Satria Andoko Bayu Hari Saputro Ba’ar Wasil Razzaq Bella Vista, Candra Cahyono, Lulus Okta Candra Bella Vista Deddy Kusbianto Dewandaru, Fajar Dika Rizky Yunianto Dika Rizky Yunianto Dika Rizky Yunianto, Dika Rizky Dika Rizky Yuninanto Dimas Rossiawan Hendra Putra Dimas Wahyu Wibowo Dodo Zulkarnain DWI PUSPITASARI Dwi Puspitasari Dwi Puspitasari Eko Hendri S Eko Yudiyanto Ekojono Ekojono Erfan Rohadi Erlangga Adha Widyatama Faisal Rahutomo Fajar Dewandaru Febriyanto, Nugroho Frangky Tupamahu Hapsari, Indri Tri Hendra Pradibta Hendrawan, Muhammad Afif Ika Oktavia Pristisari Imam Fahrur Rozi Indri Tri Hapsari Inta Widiastuti Kris Witono Laras Palupi P Lesmana, Ade Putra Marcelina Alifia Rahmawati Martin Nugroho Parapat Maula, Ahmad Zaky Moch Zawaruddin Abdullah Moch. Febry Ramadhani Moch. Zawaruddin Abdullah Muhammad Bisri Musthafa Ngatmari Ngatmari Nugroho Febriyanto Nur Afifi, Yunis Fiatin Nurudin Santoso Palupi P, Laras Parapat, Martin Nugroho Pradibta, Hendra Pramana Yoga Saputra Pramana Yoga Saputra Pristisari, Ika Oktavia Putra, Amanda Patria Rahmat Satrio Wibowo Ramadhani, Moch. Febry Razzaq, Ba’ar Wasil Riza Awwalul Baqy Rosa A. Asmara Rosa Andrie Asmara Rosiani, Ulla Delfana Rudy Ariyanto Santoso, Nurudin Saputro, Bayu Hari Satworo Adiwidodo Septian Enggar Sukmana Tri, Ariadi Retno Vandry Eko Haris Setiyanto vivin ayu lestari, vivin ayu Widiastuti, Inta Yan Watequlis Syaifudin Yudistira Eka Putra Yuninanto, Dika Rizky Yuri Ariyanto Yuri Ariyanto Zulkarnain, Dodo