Hand Gesture Recognition

33 papers with code • 16 benchmarks • 11 datasets

This task has no description! Would you like to contribute one?

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.

Make Skeleton-based Action Recognition Model Smaller, Faster and Better

fandulu/DD-Net arXiv 2019

Although skeleton-based action recognition has achieved great success in recent years, most of the existing methods may suffer from a large model size and slow execution speed.

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.

Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison

dxli94/WLASL 24 Oct 2019

Based on this new large-scale dataset, we are able to experiment with several deep learning methods for word-level sign recognition and evaluate their performances in large scale scenarios.

Human Computer Interaction Using Marker Based Hand Gesture Recognition

siam1251/HandGestureRecognition 23 Jun 2016

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

First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations

guiggh/hand_pose_action CVPR 2018

Our dataset and experiments can be of interest to communities of 3D hand pose estimation, 6D object pose, and robotics as well as action recognition.

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.

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.