General Remote Control Based on Hand Patterns Detection Using Convolutional Neural Network
Peneliti
Deskripsi/Abstrak
The main hardware of this system consists of computer that contains a program with trained Convolutional Neural Network (CNN) model and Node MCU that contains data base of infrared signals of the remote that its function we want to replace. Using camera, computer will read the hand gesture and the hand gesture will be classified using trained CNN model. Each of hand gesture represents infrared pulse in the data base program in Node MCU. There are 4 hand patterns that represent commands in this proposed system.
Publikasi
Judul | Jenis | Media | Tahun |
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General Remote Control Based on Hand Patterns Detection Using Convolutional Neural Network | Prosiding Internasional | - Volume: - Nomor: - | 2019 |
Detail Penelitian
Program Studi | : | TEKNIK ELEKTRO - S1 |
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Tingkat | : | Internasional |
Jenis Litabmas | : | - |
Skim Litabmas | : | - |
Kategori Bidang Litabmas | : | - |
Bidang Litabmas | : | - |
Kategori Tujuan Sosial Ekonomi | : | - |
Tujuan Sosial Ekonomi | : | - |
Kelompok Bidang | : | - |
Tahun Usulan | : | 2019 |
Tahun Pelaksanaan | : | 2019 |
Tahun Pelaksanaan Ke- | : | 1 |
Tahun Kegiatan | : | 2019 |
Lama Kegiatan (dalam tahun) | : | 1 |
Lokasi Kegiatan | : | - |