Movement Classification on Accelerometer Using Support Vector Machine

GIVANNI TRISYA PUTRI

Informasi Dasar

19.04.074
004
Karya Ilmiah - Skripsi (S1) - Reference

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.

Subjek

COMPUTER SCIENCE
 

Katalog

Movement Classification on Accelerometer Using Support Vector Machine
 
 
Indonesia

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

GIVANNI TRISYA PUTRI
Perorangan
Kiki Maulana Adhinugraha, Ibnu Asror
 

Penerbit

Universitas Telkom
Bandung
2019

Koleksi

Kompetensi

  • CSH453 - BASIS DATA SPASIAL
  • CS2083 - DESAIN DAN ANALISIS ALGORITMA
  • CCH3F3 - KECERDASAN BUATAN
  • CIG4A3 - PEMBELAJARAN MESIN
  • CS2223 - PEMROGRAMAN BERORIENTASI OBJEK

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