Autonomous Recognition of Martial Arts Forms using RGB-D Cameras

被引：0

作者：

Ardila Salazar, Karolay ^{[1
]}

Sibaja Garcia, Julian E. ^{[1
]}

Simancas Mateus, Andres ^{[1
]}

Percybrooks, Winston S. ^{[1
]}

机构：

[1] Univ Norte, Dept Elect & Elect Engn, Barranquilla, Colombia

来源：

2017 CONGRESO INTERNACIONAL DE INNOVACION Y TENDENCIAS EN INGENIERIA (CONIITI) | 2017年

关键词：

kinect; stance recognition; feature representation; SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The work presented here proposes an approach to automate the process of detecting and evaluating martial arts forms. This document presents a detection system on a set of static poses, which will be expanded in the future into full-movement forms. The results show that it is feasible to build a Kinect-based stance recognition system using simple machine learning algorithms, which will serve as a basis for more complex work in the future.

引用

页数：5

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