A review of hand gesture and sign language recognition techniques

Hand gesture recognition serves as a key for overcoming many difficulties and providing convenience for human life. The ability of machines to understand human activities and their meaning can be utilized in a vast array of applications. One specific field of interest is sign language recognition. T...

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Vydáno v:International journal of machine learning and cybernetics Ročník 10; číslo 1; s. 131 - 153
Hlavní autoři: Cheok, Ming Jin, Omar, Zaid, Jaward, Mohamed Hisham
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2019
Springer Nature B.V
Témata:
Accuracy
Algorithms
Artificial Intelligence
Camcorders
Cameras
Communication
Complex Systems
Computational Intelligence
Control
Data acquisition
Deafness
Engineering
Feature extraction
Gesture recognition
Literature reviews
Mechatronics
Original Article
Pattern Recognition
Performance evaluation
Robotics
Sensors
Sign language
State-of-the-art reviews
Systems Biology
Virtual reality
Voice recognition
Webcams
Computer vision
Sign language
Image processing
Gesture recognition
Machine learning
ISSN:1868-8071, 1868-808X
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Popis
Shrnutí:Hand gesture recognition serves as a key for overcoming many difficulties and providing convenience for human life. The ability of machines to understand human activities and their meaning can be utilized in a vast array of applications. One specific field of interest is sign language recognition. This paper provides a thorough review of state-of-the-art techniques used in recent hand gesture and sign language recognition research. The techniques reviewed are suitably categorized into different stages: data acquisition, pre-processing, segmentation, feature extraction and classification, where the various algorithms at each stage are elaborated and their merits compared. Further, we also discuss the challenges and limitations faced by gesture recognition research in general, as well as those exclusive to sign language recognition. Overall, it is hoped that the study may provide readers with a comprehensive introduction into the field of automated gesture and sign language recognition, and further facilitate future research efforts in this area.
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ISSN:1868-8071
1868-808X
DOI:10.1007/s13042-017-0705-5