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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.
