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基于Kinect的学习者头部姿态动态识别方法

范子健 许炜 刘非凡 程文青

计算机与数字工程2017,Vol.45Issue(2):360-366,7.
计算机与数字工程2017,Vol.45Issue(2):360-366,7.DOI:10.3969/j.issn.1672-9722.2017.02.031

基于Kinect的学习者头部姿态动态识别方法

Adaptive Identification of Learner Head Pose Based on Kinect

范子健 1许炜 1刘非凡 1程文青1

作者信息

  • 1. 华中科技大学电子信息与通信学院 武汉 430074
  • 折叠

摘要

Abstract

Online learning gradually becomes a new way of learning, which is facing the challenge of how to evaluate the learning effectiveness.Nowadays, it is a popular solution to use somatosensory information to recognize the gesture and state of learner.Besides, head pose identification is the most important part of human gesture recognition.Due to the different height and sitting position of the learner, the traditional method works with a high false alarm ratio in practice.To this end, a dynamic head pose identification solution is proposed.Experiments demonstrate that the proposed solution can effectively distinguish the learner's head pose, which is more adaptive and scientific.

关键词

Kinect/头部姿态识别/动态阈值

Key words

Kinect/head pose identification/dynamic threshold

分类

信息技术与安全科学

引用本文复制引用

范子健,许炜,刘非凡,程文青..基于Kinect的学习者头部姿态动态识别方法[J].计算机与数字工程,2017,45(2):360-366,7.

基金项目

国家科技支撑计划项目(编号:2015BAH33F04)资助. (编号:2015BAH33F04)

计算机与数字工程

OACSTPCD

1672-9722

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