大学生嵌入式系统专题邀请赛优秀作品选编(第六届)

当前位置:首页 > 计算机/网络 > 计算机体系结构 > 大学生嵌入式系统专题邀请赛优秀作品选编(第六届)

  • 版 次:3
  • 页 数:
  • 字 数:
  • 印刷时间:2013年08月01日
  • 开 本:16开
  • 纸 张:胶版纸
  • 包 装:平装
  • 是否套装:否
  • 国际标准书号ISBN:9787313063076
作者:大学生嵌入式系统专题邀请赛组委会 组编出版社:上海交通大学出版社出版时间:2013年08月 
编辑推荐
  《大学生嵌入式系统专题邀请赛优秀作品选编(第六届)》参赛作品由学生自主选题、自主设计,主要涉及智能生产与生活、多媒体与人机交互、物联网人性化服务等多个领域,涌现出大量紧密结合行业热点,市场需求的创新设计成果。每篇作品均附有“评审意见”。

 
目  录
Improving Communication Ability of the Disabled——Chinese Sign Language Recognition and Translation System
Teaching System Based on the Augmented Reality and Atom
Surface Electromyography Detection and Training System
Intelligent System of Inertial Navigation Using QR—codes(InSINQ)
An Intelligent Family Health Monitoring System Based on Atom Platform
A Novel PowerPoint Auxiliary Equipment
Wearable Touch Based Human—Computer Interactive System
Sweet Memories of My Childhood——Sugar Painting Robot
AdSkip: A commercial detection technology based on
lntel Atom and Altera Arria II GX FPGA
Intemet on The Tongue,Atom on Taste Buds——Intelligent Interactive Restaurant Management System Based on Intemet of Things
Attractions and Monuments Touring System Based on Google Earth
Guitar Robot
Driver Assistance System Based on Imaging Sensor
在线试读部分章节
The resulting accuracy is lower than before so with parameter selected we can get higher accuracy.LIBSVM provides a tool to compute them,so we can use the library to get the desirable result. 
6 Conclusion 
The deaf and the mute have difficulties in communicating with healthy people who don't know sign language.On the other hand,deaf children have learning disabilities.Our system aims to enhance these situations by real-time translating sign language into text or sound with Kinect.We can develop more interesting games to enhance deafchildren's learning abilities.We hope that our system will be able to encourage people to learn more sign language. 
(Faculty Mentor: Xu Qiang 
Participating institutions: The Chinese University of Hong Kong) 
Comments: 
The target System uses Intel ATOM platform and Microsoft Kinect as two main parts to compose ofa system which can be used to detect and translate the sign language by disabled people to Chinese words/Sounds. 
The system use SVM to_enhance the accuracy ofgestures reorganization,it can distinguish 48 kinds of sign language. 
With multi-threaded programing technologies integrated in the project.The application runs in high efficacy. 
The demonstration process is clear and success. 

 大学生嵌入式系统专题邀请赛优秀作品选编(第六届)下载



发布书评

 
 

 

PDF图书网 

PDF图书网 @ 2017