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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ito, K. Itoh, K. Kiyota, K. Ezaki, N. |
| Copyright Year | 2007 |
| Description | Author affiliation: Nat. Rehabilitation Center for Persons with Disabilities, Saitama (Ito, K.; Itoh, K.) |
| Abstract | When we attend class, we frequently take notes. The method of taking note means writing much information as a paper record. However, we cannot write it down in the notebook if there is no visual feedback information. We propose a pen-based note-taking system, which is named the 'pen-talker' on the ultra mobile PCs for blind person. A blind novice user with acquired blindness is able to input Japanese characters directly instead of a keyboard without well training by using the pen-talker. This paper describes system design concept of the system. We also investigate a higher recognition engine based on the hybrid recognition, which is integration of on-line and off-line recognition algorithm, and we restructure the input interface by the ultra mobile PC with a voice assistance function. Screen information is given to user via built-in a screen reader. Therefore the 'pen-talker' can be used as a note pad software using a simple button operation for even blind novice user. As a result of the recognition experiment, recognition accuracy has improved to 93.3% for eight blind subjects. This is an extremely high score compared with the previous our system. Consequently, we confirmed the practical use possibility of the proposed system. |
| Starting Page | 8 |
| Ending Page | 8 |
| File Size | 314440 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769528821 |
| DOI | 10.1109/ICICIC.2007.263 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-05 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Handwriting recognition Shape Feedback Keyboards Blindness Speech recognition Writing Educational institutions Character recognition Personal communication networks |
| Content Type | Text |
| Resource Type | Article |
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