Human hand sign language recognition based on extreme learning machine
As machine learning algorithms and computer processing speed greatly advanced in recent years, real-time hand gesture recognition has become a promising topic in computer science and language technology. Some of the existing limits in achieving user-friendly experience are real-time recognition spee...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/64392 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | As machine learning algorithms and computer processing speed greatly advanced in recent years, real-time hand gesture recognition has become a promising topic in computer science and language technology. Some of the existing limits in achieving user-friendly experience are real-time recognition speed and accuracy. This project aims to realize practical dual hand real-time recognition and to develop new man-machine interaction functions. Based on senior Mr. Jiang Runzhou’s FYP work, Ms. Cai Xiao, Mr. Liu Hongyang and the author work closely to achieve the objective. Realizable functions include PowerPoint slide show control, music player control and Rock, Paper, Scissor game. Mr. Jiang Runzhou’s past gesture recognition is also enhanced to achieve more excellent accuracy. |
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