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Diverse hand gesture recognition dataset
Hand Gesture Recognition(HGR) is a challenging computer vision task. Recently, by taking advantages of deep learning-based models, HGR methods have...
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Survey on vision-based dynamic hand gesture recognition
To communicate with one another hand, gesture is very important. The task of using the hand gesture in technology is influenced by a very common way...
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Dyhand: dynamic hand gesture recognition using BiLSTM and soft attention methods
Hand gesture recognition is an essential task in computer vision. It is the most intuitive and natural medium for communication when dealing with...
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mXception and dynamic image for hand gesture recognition
Gesture detection has recently attracted a lot of attention due to its wide range of applications, notably in human–computer interaction (HCI)....
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Effective features extraction and selection for hand gesture recognition using sEMG signal
Surface Electromyographic (sEMG) signals are a promising approach to hand and finger gesture recognition. Most of the sEMG-based hand gesture...
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A novel feature fusion technique for robust hand gesture recognition
Gesture recognition has emerged as a crucial field of research due to its wide range of applications, such as human-computer interaction, sign...
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Fusion of kinematic and physiological sensors for hand gesture recognition
The uncertainty of hand gestures, the variability of gestures across subjects, and the high cost of collecting a large amount of annotated data lead...
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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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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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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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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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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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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...
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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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Ultrasonic positioning and IMU data fusion for pen-based 3D hand gesture recognition
In this paper, a pen-based 3D hand gesture dataset and recognition method using ultrasonic positioning and inertial data is proposed. First,...
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Deep Attention Network for Enhanced Hand Gesture Recognition System
Since technology is growing in all fields, researchers are develo** more advanced technologies in human–computer communication and security...
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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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Novel error correction-based key frame extraction technique for dynamic hand gesture recognition
Before languages came into existence, sign language was the mode of communication. For human–computer interaction, recognizing these sign languages...
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Adaptive shift graph convolutional neural network for hand gesture recognition based on 3D skeletal similarity
Graph convolutional neural networks (GCNs) have shown promising results in the field of hand gesture recognition based on 3D skeletal data. However,...
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A deep neural network for hand gesture recognition from RGB image in complex background
Deep learning research has gained significant popularity recently, finding applications in various domains such as image preprocessing, segmentation,...
