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 176–200 of 572 papers

TitleStatusHype
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition—0
CONDUCT: An Expressive Conducting Gesture Dataset for Sound Control—0
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables—0
A New GNG Graph-Based Hand Gesture Recognition Approach—0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures—0
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception—0
Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer—0
Computational ergonomics for task delegation in Human-Robot Collaboration: spatiotemporal adaptation of the robot to the human through contactless gesture recognition—0
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition—0
Complying with the EU AI Act: Innovations in Explainable and User-Centric Hand Gesture Recognition—0
FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction—0
Complexity-Aware Assignment of Latent Values in Discriminative Models for Accurate Gesture Recognition—0
An Evaluation of Large Pre-Trained Models for Gesture Recognition using Synthetic Videos—0
Extension of hidden markov model for recognizing large vocabulary of sign language—0
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical—0
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis—0
An Evaluation Framework for Multimodal Interaction—0
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction—0
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
Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs—0
EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision—0
Extraction Of Cumulative Blobs From Dynamic Gestures—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
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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