Gesture Recognition

115 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

Libraries

Use these libraries to find Gesture Recognition models and implementations

Latest papers with no code

An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition

no code yet • 27 Mar 2024

To automatically adapt to various datasets, the ENAS framework is designed to automatically search a MHGR network with appropriate fusion positions and ratios.

Agile gesture recognition for low-power applications: customisation for generalisation

no code yet • 12 Mar 2024

Automated hand gesture recognition has long been a focal point in the AI community.

A Simple Baseline for Efficient Hand Mesh Reconstruction

no code yet • 4 Mar 2024

3D hand pose estimation has found broad application in areas such as gesture recognition and human-machine interaction tasks.

High-speed Low-consumption sEMG-based Transient-state micro-Gesture Recognition

no code yet • 4 Mar 2024

The accuracy of the proposed SNN is 83. 85% and 93. 52% on the two datasets respectively.

Radar-Based Recognition of Static Hand Gestures in American Sign Language

no code yet • 20 Feb 2024

This emphasizes the practicality of our methodology in overcoming data scarcity challenges and advancing the field of automatic gesture recognition in VR and HCI applications.

Hand Shape and Gesture Recognition using Multiscale Template Matching, Background Subtraction and Binary Image Analysis

no code yet • 15 Feb 2024

This paper presents a hand shape classification approach employing multiscale template matching.

Spiking Neural Network Enhanced Hand Gesture Recognition Using Low-Cost Single-photon Avalanche Diode Array

no code yet • 8 Feb 2024

We present a compact spiking convolutional neural network (SCNN) and spiking multilayer perceptron (SMLP) to recognize ten different gestures in dark and bright light environments, using a $9. 6 single-photon avalanche diode (SPAD) array.

Phase-driven Domain Generalizable Learning for Nonstationary Time Series

no code yet • 5 Feb 2024

Monitoring and recognizing patterns in continuous sensing data is crucial for many practical applications.

ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data

no code yet • 2 Feb 2024

We propose a novel hybrid pipeline composed of asynchronous sensing and synchronous processing that combines several ideas: (1) an embedding based on PointNet models -- the ALERT module -- that can continuously integrate new and dismiss old events thanks to a leakage mechanism, (2) a flexible readout of the embedded data that allows to feed any downstream model with always up-to-date features at any sampling rate, (3) exploiting the input sparsity in a patch-based approach inspired by Vision Transformer to optimize the efficiency of the method.

Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data

no code yet • 30 Jan 2024

As intelligent systems become increasingly important in our daily lives, new ways of interaction are needed.