Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition

Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition

In this paper we propose a novel algorithm that enables online actions segmentation and classification. The algorithm enables segmentation from an incoming motion capture (MoCap) data stream, sport (or karate) movement sequences that are later processed by classification algorithm. The segmentation...

Full description

Bibliographic Details
Main Authors: Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Symmetry
Subjects:
assistive computer vision
sport actions recognition
actions segmentation
Gestures Description Language
hidden Markov models
unsupervised learning
Oyama karate
Online Access:http://www.mdpi.com/2073-8994/7/4/1670

Internet

http://www.mdpi.com/2073-8994/7/4/1670

Similar Items