Hand-Gesture Recognition
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Benchmarks
DHG-14
DHG-28
NVGesture
EgoGesture
SHREC 2017
VIVA Hand Gestures Dataset
ChaLearn val
LSA16
Cambridge
Jester test
BUAA
ChaLean test
Jester val
MGB
Northwestern University
SmartWatch
InAirGestures
Most implemented
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition
HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition
EgoHand: Ego-centric Hand Pose Estimation and Gesture Recognition with Head-mounted Millimeter-wave Radar and IMUs
ConvMixFormer- A Resource-efficient Convolution Mixer for Transformer-based Dynamic Hand Gesture Recognition
MVTN: A Multiscale Video Transformer Network for Hand Gesture Recognition
Papers
Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions
The rapid evolution of deep learning (DL) models and the ever-increasing size of available datasets have raised the interest of the research community in the always important field of vision-based hand gesture recognitio…
Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionNavigate+1Diver-Robot Communication Dataset for Underwater Hand Gesture Recognition
In this paper, we present a dataset of diving gesture images used for human-robot interaction underwater. By offering this open access dataset, the paper aims at investigating the potential of using visual detection of d…
Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionTime Frequency Analysis of EMG Signal for Gesture Recognition using Fine grained Features
Electromyography (EMG) based hand gesture recognition converts forearm muscle activity into control commands for prosthetics, rehabilitation, and human computer interaction. This paper proposes a novel approach to EMG-ba…
Electromyography (EMG)Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionElectromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics
Hand gesture recognition using multichannel surface electromyography (sEMG) is challenging due to unstable predictions and inefficient time-varying feature enhancement. To overcome the lack of signal based time-varying f…
Computational EfficiencyGesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionHelios 2.0: A Robust, Ultra-Low Power Gesture Recognition System Optimised for Event-Sensor based Wearables
We present an advance in wearable technology: a mobile-optimized, real-time, ultra-low-power event camera system that enables natural hand gesture control for smart glasses, dramatically improving user experience. While …
Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionEdge Training and Inference with Analog ReRAM Technology for Hand Gesture Recognition
Tactile hand gesture recognition is a crucial task for user control in the automotive sector, where Human-Machine Interactions (HMI) demand low latency and high energy efficiency. This study addresses the challenges of p…
Feature EngineeringGesture RecognitionHand Gesture RecognitionHand-Gesture Recognition