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 101–125 of 572 papers

TitleStatusHype
Computational ergonomics for task delegation in Human-Robot Collaboration: spatiotemporal adaptation of the robot to the human through contactless gesture recognition—0
Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer—0
Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks—0
CONDUCT: An Expressive Conducting Gesture Dataset for Sound Control—0
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition—0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures—0
Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation—0
Continuous Human Action Detection Based on Wearable Inertial Data—0
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning—0
Control of Computer Pointer Using Hand Gesture Recognition in Motion Pictures—0
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition—0
Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs—0
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks—0
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition—0
Cross-Language Transfer Learning using Visual Information for Automatic Sign Gesture Recognition—0
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition—0
CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification—0
Data-Free Class Incremental Gesture Recognition via Synthetic Feature Sampling—0
ChaLearn Looking at People: A Review of Events and Resources—0
CGAP2: Context and gap aware predictive pose framework for early detection of gestures—0
Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data—0
Decoupled Representation Learning for Skeleton-Based Gesture Recognition—0
Deep Attention Network for Enhanced Hand Gesture Recognition System—0
A Real-time Hand Gesture Recognition and Human-Computer Interaction System—0
Adversary Helps: Gradient-based Device-Free Domain-Independent 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