Hand-Gesture Recognition
31 papers with code • 2 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Hand-Gesture Recognition
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Datasets
IPN Hand
VIVA
MLGESTURE DATASET
Human Palm and Gloves Dataset | Human Body Parts Dataset
Most implemented papers
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
ahmetgunduz/Real-time-GesRec
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We evaluate our architecture on two publicly available datasets - EgoGesture and NVIDIA Dynamic Hand Gesture Datasets - which require temporal detection and classification of the performed hand gestures.
HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition
Plrbear/HGR-Net
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We propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic segmentation to determine hand regions, and the second stage identifies the gesture.
Human Computer Interaction Using Marker Based Hand Gesture Recognition
Human Computer Interaction (HCI) has been redefined in this era.
Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition
Gesture recognition is a challenging problem in the field of biometrics.
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition
The 3D ResNets trained on the Kinetics did not suffer from overfitting despite the large number of parameters of the model, and achieved better performance than relatively shallow networks, such as C3D.
Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition
Acquiring spatio-temporal states of an action is the most crucial step for action classification.
Deep Learning for Hand Gesture Recognition on Skeletal Data
guillaumephd/deep_learning_hand_gesture_recognition
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IEEE FG 2018 2018
In this paper, we introduce a new 3D hand gesture recognition approach based on a deep learning model.
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
sbhonde1/Multimodal-Learning
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CVPR 2019
We present an efficient approach for leveraging the knowledge from multiple modalities in training unimodal 3D convolutional neural networks (3D-CNNs) for the task of dynamic hand gesture recognition.
Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a vitally important role in natural human-computer interface.
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand gesture recognition.
