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Sign Language Recognition for Deaf and Dumb People
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gowri D. |
| Copyright Year | 2014 |
| Abstract | Deaf and dumb people use sign language for their communication but it was difficult to understand by the normal people. The aim of this project is to reduce the barrier between in them. The main objective of this project is to produce an algorithm for recognition of hand gestures with accuracy. In this project has a hand gloves model for gesture recognition. MEMS sensor is used to detecting the hand motions based on the stress. This project is used for the deaf and dumb people to communicate with normal people. The hand motions are detected by the MEMS sensor and the values are stored on the microcontroller memory unit. The output voices are previously stored on the voice processor unit. Depends on the hand motions the output will be displayed on the LCD and also played through the speaker. Keywords—MEMS accelerometer, Hand motion comparison, Voice processor, Communication, Sign language -***- |
| Starting Page | 797 |
| Ending Page | 799 |
| Page Count | 3 |
| File Format | PDF HTM / HTML |
| DOI | 10.15623/ijret.2014.0319144 |
| Volume Number | 03 |
| Alternate Webpage(s) | http://esatjournals.net/ijret/2014v03/i19/IJRET20140319144.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
