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
11k Hands
SHREC
Jester (Gesture Recognition)
TCG
Most implemented papers
sEMG Gesture Recognition with a Simple Model of Attention
Myoelectric control is one of the leading areas of research in the field of robotic prosthetics.
Gesture Recognition for Initiating Human-to-Robot Handovers
junwenkwan/human-robot-handover
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Human-to-Robot handovers are useful for many Human-Robot Interaction scenarios.
BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis
Achieving realistic, vivid, and human-like synthesized conversational gestures conditioned on multi-modal data is still an unsolved problem due to the lack of available datasets, models and standard evaluation metrics.
SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing
chenxinyan-sg/wifi-csi-sensing-benchmark
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WiFi sensing has been evolving rapidly in recent years.
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Recent studies have demonstrated the power of recurrent neural networks for machine translation, image captioning and speech recognition.
Rank Pooling for Action Recognition
We show how the parameters of a function that has been fit to the video data can serve as a robust new video representation.
Human Computer Interaction Using Marker Based Hand Gesture Recognition
Human Computer Interaction (HCI) has been redefined in this era.
Static Gesture Recognition using Leap Motion
In this report, an automated bartender system was developed for making orders in a bar using hand gestures.
Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition
Gesture recognition is a challenging problem in the field of biometrics.
Wisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified Smartphones
This paper introduces Wisture, a new online machine learning solution for recognizing touch-less dynamic hand gestures on a smartphone.
