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Gesture Recognition is an active field of research with applications such as automatic recognition of sign language, interaction of humans and robots or for new ways of controlling video games.

Source: Gesture Recognition in RGB Videos Using Human Body Keypoints and Dynamic Time Warping

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Greatest papers with code

XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification

9 Nov 2019timeseriesAI/tsai

The proposed innovative XceptionTime is designed by integration of depthwise separable convolutions, adaptive average pooling, and a novel non-linear normalization technique.

CLASSIFICATION DATA AUGMENTATION GESTURE RECOGNITION

Attention in Convolutional LSTM for Gesture Recognition

NeurIPS 2018 GuangmingZhu/AttentionConvLSTM

On this basis, a new variant of LSTM is derived, in which the convolutional structures are only embedded into the input-to-state transition of LSTM.

GESTURE RECOGNITION

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

24 Oct 2019dxli94/WLASL

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.

ACTION CLASSIFICATION HAND GESTURE RECOGNITION SIGN LANGUAGE RECOGNITION SIGN LANGUAGE TRANSLATION

A Unified Learning Approach for Hand Gesture Recognition and Fingertip Detection

6 Jan 2021MahmudulAlam/Unified-Gesture-and-Fingertip-Detection

The proposed algorithm uses a single network to predict the probabilities of finger class and positions of fingertips in one forward propagation of the network.

HAND GESTURE RECOGNITION

Neural Sign Language Translation

CVPR 2018 neccam/nslt

SLR seeks to recognize a sequence of continuous signs but neglects the underlying rich grammatical and linguistic structures of sign language that differ from spoken language.

GESTURE RECOGNITION LANGUAGE MODELLING MACHINE TRANSLATION SIGN LANGUAGE RECOGNITION SIGN LANGUAGE TRANSLATION TOKENIZATION

An Efficient PointLSTM for Point Clouds Based Gesture Recognition

CVPR 2020 Blueprintf/pointlstm-gesture-recognition-pytorch

The proposed PointLSTM combines state information from neighboring points in the past with current features to update the current states by a weight-shared LSTM layer.

HAND GESTURE RECOGNITION

Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

15 Jan 2019Ha0Tang/HandGestureRecognition

Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a vitally important role in natural human-computer interface.

HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION