Hand-Gesture Recognition

34 papers with code • 2 benchmarks • 5 datasets

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Most implemented papers

Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

ahmetgunduz/Real-time-GesRec 29 Jan 2019

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 14 Jun 2018

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

siam1251/HandGestureRecognition 23 Jun 2016

Human Computer Interaction (HCI) has been redefined in this era.

Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition

chriswegmann/drone_steering 12 Jul 2017

Gesture recognition is a challenging problem in the field of biometrics.

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

kenshohara/3D-ResNets 25 Aug 2017

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

okankop/MFF-pytorch 19 Apr 2018

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 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 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

Ha0Tang/HandGestureRecognition 15 Jan 2019

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

yuxiaochen1103/DG-STA 20 Jul 2019

We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand gesture recognition.