Trajectory based Arabic Sign Language Recognition
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 4
Abstract
Deaf and hearing impaired people use their hand as a tongue to convey their thoughts by performing descriptive gestures that form the sign language. A sign language recognition system is a system that translates these gestures into a form of spoken language. Such systems are faced by several challenges, like the high similarities of the different signs, difficulty in determining the start and end of signs, lack of comprehensive and bench marking databases. This paper proposes a system for recognition of Arabic sign language using the 3D trajectory of hands. The proposed system models the trajectory as a polygon and finds features that describes this polygon and feed them to a classifier to recognize the signed word. The system is tested on a database of 100 words collected using Kinect. The work is compared with other published works using publicly available dataset which reflects the superiority of the proposed technique. The system is tested for both signer-dependent and signer-independent recognition.
Authors and Affiliations
Ala addin I. Sidig, Sabri A. Mahmoud
Keywords
Related Articles
- EP ID EP286331
- DOI 10.14569/IJACSA.2018.090442
- Views 86
- Downloads 0
Inferring of Cognitive Skill Zones in Concept Space of Knowledge Assessment
In these research zones of the knowledge, the assessed domain is identified. Explicitly, these zones are known as Verified Skills, Derived Skills and Potential Skills. In detail, the Verified Skills Zone is the set of te...
Let’s Code: A Kid-friendly Interactive Application Designed to Teach Arabic-speaking Children Text-based Programming
Programming is the cornerstone for the development of all of the technologies we encounter in our daily lives. It also plays an important role in enhancing creativity, problem-solving, and logical thinking. Due to the im...
Intelligent Pedestrian Detection using Optical Flow and HOG
Pedestrian detection is an important aspect of autonomous vehicle driving as recognizing pedestrians helps in reducing accidents between the vehicles and the pedestrians. In literature, feature based approaches have been...
High Performance of Hash-based Signature Schemes
Hash-based signature schemes, whose security is based on properties of the underlying hash functions, are promising candidates to be quantum-safe digital signatures schemes. In this work, we present a software implementa...
Message Segmentation to Enhance the Security of LSB Image Steganography
Classic Least Significant Bit (LSB) steganography technique is the most used technique to hide secret information in the least significant bit of the pixels in the stego-image. This paper proposed a technique by sp...