Browse SoTA > Time Series > Gesture Recognition

Gesture Recognition

40 papers with code · Time Series

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

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

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

Recognizing Surgical Activities with Recurrent Neural Networks

20 Jun 2016rdipietro/miccai-2016-surgical-activity-rec

In contrast, we work on recognizing both gestures and longer, higher-level activites, or maneuvers, and we model the mapping from kinematics to gestures/maneuvers with recurrent neural networks.

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

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

10 Jan 2018UlysseCoteAllard/MyoArmbandDataset

Consequently, this paper proposes applying transfer learning on aggregated data from multiple users, while leveraging the capacity of deep learning algorithms to learn discriminant features from large datasets.

GESTURE RECOGNITION TRANSFER LEARNING

Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention

20 Jul 2019yuxiaochen1103/DG-STA

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

HAND-GESTURE RECOGNITION SKELETON BASED ACTION RECOGNITION