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

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Showing 351–400 of 572 papers

TitleStatusHype
Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems—0
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis—0
CGAP2: Context and gap aware predictive pose framework for early detection of gestures—0
Whose hand is this? Person Identification from Egocentric Hand Gestures—0
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography—0
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition—0
Understanding the hand-gestures using Convolutional Neural Networks and Generative Adversial Networks—0
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery—0
One-Shot Federated Learning with Neuromorphic Processors—0
A Dataset for Linguistic Understanding, Visual Evaluation, and Recognition of Sign Languages: The K-RSL—0
Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics—0
Hybrid Backpropagation Parallel Reservoir Networks—0
Temporal Binary Representation for Event-Based Action RecognitionCode0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures—0
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition—0
Event-based Action Recognition Using Timestamp Image Encoding Network—0
Recognition and Synthesis of Object Transport Motion—0
A Deep Learning Approach to Tongue Detection for Pediatric Population—0
Gesture Recognition from Skeleton Data for Intuitive Human-Machine Interaction—0
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition—0
Online Few-shot Gesture Learning on a Neuromorphic Processor—0
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis—0
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition—0
Force myography benchmark data for hand gesture recognition and transfer learningCode0
Sensor-Based Continuous Hand Gesture Recognition by Long Short-Term Memory—0
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition—0
Two-stream Fusion Model for Dynamic Hand Gesture Recognition using 3D-CNN and 2D-CNN Optical Flow guided Motion Template—0
Gesture Recognition using Reflected Visible and Infrared Light Wave Signals—0
Symmetric Dilated Convolution for Surgical Gesture RecognitionCode0
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction—0
Duodepth: Static Gesture Recognition Via Dual Depth SensorsCode0
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range RadarsCode0
Object recognition through pose and shape estimation—0
Decoupled Representation Learning for Skeleton-Based Gesture Recognition—0
Invariant 3D Shape Recognition using Predictive Modular Neural Networks—0
Feature selection for gesture recognition in Internet-of-Things for healthcare—0
Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform—0
TheRuSLan: Database of Russian Sign Language—0
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition—0
Optimised Preprocessing for Automatic Mouth Gesture Classification—0
Low-latency hand gesture recognition with a low resolution thermal imagerCode0
Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs—0
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables—0
ASL Recognition with Metric-Learning based Lightweight Network—0
Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition—0
What and Where: Modeling Skeletons from Semantic and Spatial Perspectives for Action Recognition—0
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction—0
Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit Detection—0
FineHand: Learning Hand Shapes for American Sign Language Recognition—0
Facial Expression Phoenix (FePh): An Annotated Sequenced Dataset for Facial and Emotion-Specified Expressions in Sign Language—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