A Benchmark Arabic Sign Language Database - Shohieb, Samaa M.
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Samaa M.Shohieb is a lecturer assistant in the Faculty of Computer Science and Information Systems,Mansoura University,Egypt.She received the Master degree and she is PhD student.She also an IEEE & ACM member since 2010.She has many p0ublication in the Web accessibility field.She is also an editorial board member in two international journals.