Movement Classification on Accelerometer Using Support Vector Machine
GIVANNI TRISYA PUTRI
Informasi Umum
Kode
19.04.074
Klasifikasi
004 - Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika, Hardware Komputer
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Computer Science
Dilihat
37 kali
Informasi Lainnya
Abstraksi
Like outdoor condition, indoor condition also has rooms to explore with various kind of movements. People can walk and run during in indoor to get the location. Since it has many possibilities of movement than in outdoor, this research aims to classify two types of possible movement while in indoor, walking and running. In many previous works, accelerometer with smartphone is most likely used device to obtain the data of movements. With Support Vector Machine algorithms, it gains accuracy above 90\% by measuring the threshold, number of feature extraction, and duration of movements.
- CSH453 - BASIS DATA SPASIAL
- CS2083 - DESAIN DAN ANALISIS ALGORITMA
- CCH3F3 - KECERDASAN BUATAN
- CIG4A3 - PEMBELAJARAN MESIN
- CS2223 - PEMROGRAMAN BERORIENTASI OBJEK
Koleksi & Sirkulasi
Seluruh 1 koleksi sedang dipinjam
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Pengarang
| Nama | GIVANNI TRISYA PUTRI |
| Jenis | Perorangan |
| Penyunting | Kiki Maulana Adhinugraha, Ibnu Asror |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom |
| Kota | Bandung |
| Tahun | 2019 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
