Journal ArticleDOI
A review of hand gesture and sign language recognition techniques
TLDR
A thorough review of state-of-the-art techniques used in recent hand gesture and sign language recognition research, suitably categorized into different stages: data acquisition, pre-processing, segmentation, feature extraction and classification.Abstract:
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.read more
Citations
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Vision-based human activity recognition: a survey
TL;DR: Most computer vision applications such as human computer interaction, virtual reality, security, video surveillance and home monitoring are highly correlated to HAR tasks, which establishes new trend and milestone in the development cycle of HAR systems.
Journal ArticleDOI
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface
TL;DR: A multi-stream convolutional neural network framework to improve the recognition accuracy of gestures by learning the correlation between individual muscles and specific gestures with a “divide-and-conquer” strategy is proposed.
Journal ArticleDOI
Sign Language Recognition - A Deep Survey.
TL;DR: A taxonomy to categorize the proposed models for isolated and continuous sign language recognition is presented, discussing applications, datasets, hybrid models, complexity, and future lines of research in the field.
Journal ArticleDOI
A review and categorization of techniques on device-free human activity recognition
TL;DR: A comprehensive survey of the work conducted over the period 2010-2018 in various areas of human activity recognition with main focus on device-free solutions and proposes a new taxonomy for categorizing the research work conducted in the field of activity recognition.
Journal ArticleDOI
Extended Reality in Spatial Sciences: A Review of Research Challenges and Future Directions
Arzu Çöltekin,Ian Lochhead,Marguerite Madden,Sidonie Christophe,Alexandre Devaux,Christopher Pettit,Oliver Lock,Shashwat Shukla,Lukáš Herman,Zdeněk Stachoň,Petr Kubíček,Dajana Snopková,Sergio Bernardes,Nicholas Hedley +13 more
TL;DR: The main objective of the study is to provide an overview of broader research challenges and directions in XR, especially in spatial sciences, and to provide case studies with original results from their own studies in each section.
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