SOTAVerified

Gesture Recognition

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 572 papers

TitleStatusHype
MVTN: A Multiscale Video Transformer Network for Hand Gesture RecognitionCode0
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking—0
FORS-EMG: A Novel sEMG Dataset for Hand Gesture Recognition Across Multiple Forearm Orientations—0
A Critical Analysis on Machine Learning Techniques for Video-based Human Activity Recognition of Surveillance Systems: A Review—0
Hand1000: Generating Realistic Hands from Text with Only 1,000 Images—0
Towards Battery-Free Wireless Sensing via Radio-Frequency Energy Harvesting—0
EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach—0
N-DriverMotion: Driver motion learning and prediction using an event-based camera and directly trained spiking neural networks on Loihi 2—0
Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs—0
Data-Free Class Incremental Gesture Recognition via Synthetic Feature Sampling—0
An Advanced Deep Learning Based Three-Stream Hybrid Model for Dynamic Hand Gesture Recognition—0
A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities—0
Prototype Learning for Micro-gesture Classification—0
Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction—0
Towards Open-Set Myoelectric Gesture Recognition via Dual-Perspective Inconsistency Learning—0
Automated Patient Positioning with Learned 3D Hand Gestures—0
Zero-Shot Underwater Gesture RecognitionCode0
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical—0
Helios: An extremely low power event-based gesture recognition for always-on smart eyewear—0
Novel Human Machine Interface via Robust Hand Gesture Recognition System using Channel Pruned YOLOv5s Model—0
CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification—0
Deep self-supervised learning with visualisation for automatic gesture recognitionCode0
Enhancing Sign Language Detection through Mediapipe and Convolutional Neural Networks (CNN)—0
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models—0
Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction—0
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All datasetsDVS128 GestureCapgMyo DB-aCapgMyo DB-bCapgMyo DB-cChaLearn 2013Chalearn 2014ChaLearn 2016GesturePodMontalbanoMSRC-12Ninapro DB-1 12 gesturesNinapro DB-1 8 gestures

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TENNs-PLEIADESAccuracy (%)100—Unverified
2mMND (BPTT)Accuracy (%)98—Unverified
3EGRUAccuracy (%)97.8—Unverified
4AlexNet+LSTMAccuracy (%)97.73—Unverified
5S-TLLRAccuracy (%)97.72—Unverified
6Event-SSMAccuracy (%)97.7—Unverified
7STL-SNNAccuracy (%)97.22—Unverified
8OTTTAccuracy (%)96.88—Unverified
9STS-ResNetAccuracy (%)96.7—Unverified
10mMND (STDP)Accuracy (%)96.6—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy97.1—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy97.1—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy96.8—Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy92.08—Unverified
#ModelMetricClaimedVerifiedStatus
13D-CNN + LSTMAccuracy93.2—Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy39.95—Unverified
#ModelMetricClaimedVerifiedStatus
1GesturePodReal World Accuracy92—Unverified
#ModelMetricClaimedVerifiedStatus
1Temp Conv + LSTMError rate2.77—Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy99.01—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy84.7—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy90.7—Unverified
#ModelMetricClaimedVerifiedStatus
1PointLSTM14 gestures accuracy95.9—Unverified