HAND GESTURE RECOGNITION SYSTEM UNDER COMPLEX BACKGROUND USING SPATIO-TEMPORAL ANALYSIS

EDIYANUS PABENDON

Informasi Dasar

17.05.189
658.403 801 1
Karya Ilmiah - Thesis (S2) - Reference

The interaction between human and machine can be achieved by implementing human gesture applications which are known as human computer interaction (HCI). It has been developed several years ago, and now we can easily find it in many applications in real world e.g. in virtual reality, games, robotics, sign language recognition, etc. Gesture recognition has the potential to offer a natural way of communication between humans and machines. The most popular methods in human gesture application are hand gesture recognition. Several of hand gesture recognition methods still have the same problem when trying to recognize hand gesture accurately because of the existence of the uncontrolled environment problem, especially complex background. This study offered a method that can handle complex background in hand gesture recognition by analyzing pattern in spatio temporal domain. The system could reduce irregular noise in complex background significantly. The experiments were conducted based on our own recorded 180 videos with total 15 gestures. Experiment result showed that the proposed method could recognize 15 hand gestures with accuracy 98.33%.

Subjek

INFORMATION SYSTEM
 

Katalog

HAND GESTURE RECOGNITION SYSTEM UNDER COMPLEX BACKGROUND USING SPATIO-TEMPORAL ANALYSIS
 
 
Inggris

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

EDIYANUS PABENDON
Perorangan
HERTOG NUGROHO
 

Penerbit

Universitas Telkom
Bandung
2017

Koleksi

Kompetensi

  • CSG613 - TESIS
  • CII733 - TESIS
  • TTI7Z4 - TESIS

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