Gesture Classification with Machine Learning using Kinect Sensor Data

被引：0

作者：

Bhattacharya, Sambit ^{[1
]}

Czejdo, Bogdan ^{[1
]}

Perez, Nicolas ^{[1
]}

机构：

[1] Fayetteville State Univ, Dept Math & Comp Sci, Fayetteville, NC USA

来源：

2012 THIRD INTERNATIONAL CONFERENCE ON EMERGING APPLICATIONS OF INFORMATION TECHNOLOGY (EAIT) | 2012年

关键词：

human gesture; machine learning; gesture classification; gesture recognition; gesture segmentation; Kinect sensor;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present approaches for gesture classification and gesture segmentation by using machine learning on the Kinect sensor's data stream. Our work involved three phases. Firstly we developed gesture classification from a known vocabulary of gestures in an edited data stream. Secondly we extended those techniques to detect and classify a gesture in an unedited stream which also captures random movements. Thirdly, we apply rules to filter out movements that were not intentional gestures and yet resembled certain gestures in our vocabulary.

引用

页码：348 / 351

页数：4

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