Research has increased notably in vision-based automatic sign language recognition (ASLR). However, there has been little attention given to building a uniform platform for these purposes. Sign language (SL) includes not only static hand gestures, finger spelling, hand motions (which are called manual signs ¿¿MS¿) but also facial expressions, lip reading, and body language (which are called non-manual signs ¿¿NMS¿). Building up a database (DB) that includes both MS and NMS is the main first step for any SL recognition task. In addition to this, the Arabic Sign Language (ArSL) has no standard database. For this purpose, this book presents a DB developed for the ArSL MS and NM signs. The postures, gestures, and motions included in this DB are collected in lighting and background laboratory conditions.
| Autorius: | Samaa M. Shohieb |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2016 |
| Knygos puslapių skaičius: | 72 |
| ISBN-10: | 3659976423 |
| ISBN-13: | 9783659976421 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „A Benchmark Arabic Sign Language Database: An Atlas for Vision-Based Recognition Processes“
