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

Showing 351–375 of 572 papers

TitleStatusHype
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture RecognitionCode1
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition—0
Online Few-shot Gesture Learning on a Neuromorphic Processor—0
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition—0
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis—0
Traffic Control Gesture Recognition for Autonomous VehiclesCode1
Force myography benchmark data for hand gesture recognition and transfer learningCode0
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor dataCode1
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition—0
Sensor-Based Continuous Hand Gesture Recognition by Long Short-Term Memory—0
Gesture Recognition for Initiating Human-to-Robot HandoversCode1
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
Survey on the Analysis and Modeling of Visual Kinship: A Decade in the MakingCode1
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range RadarsCode0
Duodepth: Static Gesture Recognition Via Dual Depth SensorsCode0
Object recognition through pose and shape estimation—0
sEMG Gesture Recognition with a Simple Model of AttentionCode1
An Efficient PointLSTM for Point Clouds Based Gesture RecognitionCode1
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
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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