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

Showing 5175 of 572 papers

TitleStatusHype
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike TrainsCode1
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning ModelsCode1
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG SignalsCode1
Fine-tuning of sign language recognition models: a technical reportCode1
Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip DetectionCode1
GestFormer: Multiscale Wavelet Pooling Transformer Network for Dynamic Hand Gesture RecognitionCode1
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture RecognitionCode1
Gesture Recognition for Initiating Human-to-Robot HandoversCode1
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution AlignmentCode1
Online Training Through Time for Spiking Neural NetworksCode1
A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition SystemCode1
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion SensingCode1
Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture RecognitionCode1
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural NetworksCode1
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture RecognitionCode1
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal TrainingCode0
Human Computer Interaction Using Marker Based Hand Gesture RecognitionCode0
Intel RealSense Stereoscopic Depth CamerasCode0
HGR-Net: A Fusion Network for Hand Gesture Segmentation and RecognitionCode0
Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted FeaturesCode0
GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model AgentsCode0
Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time WarpingCode0
Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case StudyCode0
A Generic Multi-modal Dynamic Gesture Recognition System using Machine LearningCode0
Force myography benchmark data for hand gesture recognition and transfer learningCode0
Show:102550
← PrevPage 3 of 23Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TENNs-PLEIADESAccuracy (%)100Unverified
2mMND (BPTT)Accuracy (%)98Unverified
3EGRUAccuracy (%)97.8Unverified
4AlexNet+LSTMAccuracy (%)97.73Unverified
5S-TLLRAccuracy (%)97.72Unverified
6Event-SSMAccuracy (%)97.7Unverified
7STL-SNNAccuracy (%)97.22Unverified
8OTTTAccuracy (%)96.88Unverified
9STS-ResNetAccuracy (%)96.7Unverified
10mMND (STDP)Accuracy (%)96.6Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy97.1Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy97.1Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy96.8Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy92.08Unverified
#ModelMetricClaimedVerifiedStatus
13D-CNN + LSTMAccuracy93.2Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy39.95Unverified
#ModelMetricClaimedVerifiedStatus
1GesturePodReal World Accuracy92Unverified
#ModelMetricClaimedVerifiedStatus
1Temp Conv + LSTMError rate2.77Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy99.01Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy84.7Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy90.7Unverified
#ModelMetricClaimedVerifiedStatus
1PointLSTM14 gestures accuracy95.9Unverified