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Multi-modal fusion for robust hand gesture recognition based on heterogeneous networks
Hand gesture recognition has become a vital subject in the fields of human-computer interaction and rehabilitation assessment. This paper presents a...
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Facial electromyogram-based facial gesture recognition for hands-free control of an AR/VR environment: optimal gesture set selection and validation of feasibility as an assistive technology
The rapid expansion of virtual reality (VR) and augmented reality (AR) into various applications has increased the demand for hands-free input...
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A multi-modal framework for continuous and isolated hand gesture recognition utilizing movement epenthesis detection
Gesture recognition, having multitudinous applications in the real world, is one of the core areas of research in the field of human-computer...
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Sonically-enhanced in-vehicle air gesture interactions: evaluation of different spearcon compression rates
Driver distraction is a major contributor to road vehicle crashes, and visual distraction caused by using in-vehicle infotainment systems (IVIS)...
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mIV3Net: modified inception V3 network for hand gesture recognition
Hand gesture plays an important role in communication among the hearing and speech disorders people. Hand gesture recognition (HGR) is the backbone...
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Deep learning models beyond temporal frame-wise features for hand gesture video recognition
Recurrent neural networks (RNNs) are widely utilized in neural network research to capture spatiotemporal features in video data. However, their...
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Visual-semantic network: a visual and semantic enhanced model for gesture recognition
Gesture recognition has attracted considerable attention and made encouraging progress in recent years due to its great potential in applications....
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Dynamic Gesture Recognition Based on Deep 3D Natural Networks
The process of establishing contact with a computer through gestures still faces many bottlenecks that need to be solved, one of which is how to...
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HRC of intelligent assembly system based on multimodal gesture control
As a natural expression of the human body, gestures are widely used in robot control. However, most gesture control methods rely only on single-modal...
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Real-time hand gesture recognition using multiple deep learning architectures
Human gesture recognition is one of the most challenging problems in computer vision, striving to analyze human gestures by machine. However, most of...
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Static hand gesture recognition method based on the Vision Transformer
Hand gesture recognition (HGR) is the most important part of human-computer interaction (HCI). Static hand gesture recognition is equivalent to the...
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Blsnet: a tri-branch lightweight network for gesture segmentation against cluttered backgrounds
Hand gesture segmentation is an essential step to recognize hand gestures for human–robot interaction. However, complex backgrounds and the variety...
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PEA-YOLO: a lightweight network for static gesture recognition combining multiscale and attention mechanisms
Gesture recognition has been widely used in many human–computer interaction applications, which is one of the most intuitive and natural ways for...
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Computer vision-based hand gesture recognition for human-robot interaction: a review
As robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of...
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Emoji as gesture in digital communication: Emoji improve comprehension of indirect speech
As reliance on digital communication grows, so does the importance of communicating effectively with text. Yet when communicating with text, benefits...
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Human–machine collaboration using gesture recognition in mixed reality and robotic fabrication
This research presents an innovative approach that integrated gesture recognition into a Mixed Reality (MR) interface for human–machine collaboration...
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A new weighted multi-scale descriptor for hand gesture recognition
Image-based hand gesture recognition is a very challenging problem as the hand is a smaller object with complex articulations compared to the entire...
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Deep Learning-Based Hand Gesture Recognition System and Design of a Human–Machine Interface
Hand gesture recognition plays an important role in develo** effective human–machine interfaces (HMIs) that enable direct communication between...
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Snapture—a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition
As robots are expected to get more involved in people’s everyday lives, frameworks that enable intuitive user interfaces are in demand. Hand gesture...
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Robust static hand gesture recognition: harnessing sparsity of deeply learned features
Apart from verbal communication among humans, non-verbal interactions also play a significant role in conveying meaningful information. Non-verbal...
