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 201–225 of 572 papers

TitleStatusHype
Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition—0
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition—0
Fast Gesture Recognition with Multiple Stream Discrete HMMs on 3D Skeletons—0
Fast Monocular Hand Pose Estimation on Embedded Systems—0
EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision—0
Feasibility of Principal Component Analysis in hand gesture recognition system—0
Feature selection for gesture recognition in Internet-of-Things for healthcare—0
Facial Expression Phoenix (FePh): An Annotated Sequenced Dataset for Facial and Emotion-Specified Expressions in Sign Language—0
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge—0
A neural network based on SPD manifold learning for skeleton-based hand gesture recognition—0
A Dynamic Modelling Framework for Human Hand Gesture Task Recognition—0
A Critical Analysis on Machine Learning Techniques for Video-based Human Activity Recognition of Surveillance Systems: A Review—0
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition—0
FoodTrack: Estimating Handheld Food Portions with Egocentric Video—0
Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction—0
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data—0
FORS-EMG: A Novel sEMG Dataset for Hand Gesture Recognition Across Multiple Forearm Orientations—0
From Unimodal to Multimodal: improving sEMG-Based Pattern Recognition via deep generative models—0
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography—0
Event-Driven Implementation of a Physical Reservoir Computing Framework for superficial EMG-based Gesture Recognition—0
Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks—0
G3R: Generating Rich and Fine-grained mmWave Radar Data from 2D Videos for Generalized Gesture Recognition—0
Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation—0
Event-based Gesture Recognition with Dynamic Background Suppression using Smartphone Computational Capabilities—0
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition—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