Name
Abstract | ||
|---|---|---|
These days mobile devices like phones or tablets are very common among people of all age. They are connected with network and provide seamless communications through internet or cellular services. These devices can be a big help for the people who are not able to communicate properly and even in emergency conditions. A disabled person who is not able to speak or a person who speak a different language, these devices can be a boon for them as understanding, translating and speaking systems for these people. This chapter discusses a portable android based hand sign recognition system which can be used by disabled people. This chapter shows a part of on-going project. Computer Vision based techniques were used for image analysis and PCA was used after image tokenizer for recognition. This method was tested with webcam results to make system more robust. |
Year | Venue | Field |
|---|---|---|
2015 | CoRR | Android (operating system),Recognition system,Computer science,Human–computer interaction,Mobile device,Lexical analysis,Multimedia,The Internet |
DocType | Volume | Citations |
Journal | abs/1503.03614 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jagdish Lal Raheja | 1 | 164 | 14.88 |
| A. Singhal | 2 | 0 | 0.34 |
| Ankit Chaudhary | 3 | 196 | 18.51 |