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 226–250 of 572 papers

TitleStatusHype
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification—0
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks—0
GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users—0
A Two-stream Neural Network for Pose-based Hand Gesture Recognition—0
Gesture Recognition based on Long-Short Term Memory Cells using Smartphone IMUs—0
Gesture Recognition: Focus on the Hands—0
Gesture Recognition for FMCW Radar on the Edge—0
A manifold learning approach for gesture recognition from micro-Doppler radar measurements—0
Gesture Recognition from Skeleton Data for Intuitive Human-Machine Interaction—0
CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification—0
Gesture Recognition in Robotic Surgery: a Review—0
Gesture Recognition Portfolios for Personalization—0
Gesture Recognition using Reflected Visible and Infrared Light Wave Signals—0
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization—0
Gesture Recognition with a Focus on Important Actions by Using a Path Searching Method in Weighted Graph—0
Diver-Robot Communication Dataset for Underwater Hand Gesture Recognition—0
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles—0
Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned—0
Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware—0
GLADAS: Gesture Learning for Advanced Driver Assistance Systems—0
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification—0
A Transformer Architecture for Online Gesture Recognition of Mathematical Expressions—0
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing—0
A Low Power, Fully Event-Based Gesture Recognition System—0
Accessible Gesture-Driven Augmented Reality Interaction System—0
Show:102550
← PrevPage 10 of 23Next →
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