Gesture Recognition
118 papers with code • 13 benchmarks • 14 datasets
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
Benchmarks
These leaderboards are used to track progress in Gesture Recognition
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Libraries
Use these libraries to find Gesture Recognition models and implementationsDatasets
Aff-Wild
DVS128 Gesture
SHREC
Jester (Gesture Recognition)
TCG
Most implemented papers
Open Source Dataset and Deep Learning Models for Online Digit Gesture Recognition on Touchscreens
The second model used a 1D ConvNet architecture but was applied to the sequence of polar vectors connecting the touch points.
Multivariate Time Series Classification with WEASEL+MUSE
patrickzib/SFA
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Multivariate time series (MTS) arise when multiple interconnected sensors record data over time.
Learning Deep and Compact Models for Gesture Recognition
The final model is less than $1~MB$ in size, which is less than one hundredth of our initial model, with a drop of $7\%$ in accuracy, and is suitable for real-time gesture recognition on mobile devices.
Survey on Emotional Body Gesture Recognition
Automatic emotion recognition has become a trending research topic in the past decade.
Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling
We propose a fully automatic method for learning gestures on big touch devices in a potentially multi-user context.
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier
We present an end-to-end system combating this variability using a large-area, high-density sensor array and a robust classification algorithm.
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.
Neural Sign Language Translation
neccam/nslt
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CVPR 2018
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.
A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning
The system was analyzed from an end-user perspective and was modelled to operate in three modes.
