李社蕾,黄梦醒

• 1:三亚学院信息与智能工程学院
• 2:海南大学信息科学技术学院

摘要(Abstract)：

由于传统识别系统受识别延迟和信号干扰的影响,造成识别精准度较低,设计基于Kinect和HMM手势的数字图像动态识别系统,可有效提高识别精准度。根据系统硬件总体框图,采用S3C6410型号芯片对LCD控制器电路进行连接,可获取安全稳定的电压。该电压流经USB摄像头可获取安全的数字图像,采用Kinect体感传感器对图像进行处理,根据该处理结果设计动态随机存储器,改善了识别延迟问题。对Kinect体感传感器中的数字图像进行采集与阈值分割,并进行手势跟踪及识别,解决了信号干扰问题。由实验结果可知,该系统最高识别精准度可达到94%,满足人机交互的高标准需求。

关键词(KeyWords)： Kinect;HMM;手势;数字图像;动态识别;图像处理

Abstract:

Keywords:

基金项目(Foundation): 海南省自然科学基金项目(20166234);海南省自然科学基金项目(20154174);; 三亚市院地合作项目(2015YD47);; 国家级大学生创新创业训练计划项目(201713892017)~~

作者(Author): 李社蕾,黄梦醒

DOI: 10.16652/j.issn.1004-373x.2018.23.016

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