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 501–525 of 572 papers

TitleStatusHype
A Low Power, Fully Event-Based Gesture Recognition System—0
Static Gesture Recognition using Leap MotionCode0
Intel RealSense Stereoscopic Depth CamerasCode0
AirDraw: Leveraging Smart Watch Motion Sensors for Mobile Human Computer Interactions—0
A Real-time Hand Gesture Recognition and Human-Computer Interaction System—0
Complexity-Aware Assignment of Latent Values in Discriminative Models for Accurate Gesture Recognition—0
Fast Gesture Recognition with Multiple Stream Discrete HMMs on 3D Skeletons—0
Feasibility of Principal Component Analysis in hand gesture recognition system—0
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge—0
High Performance Novel Skin Segmentation Algorithm for Images With Complex Background—0
ChaLearn Looking at People: A Review of Events and Resources—0
Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks—0
Cloud Dictionary: Sparse Coding and Modeling for Point CloudsCode0
Deep Learning with Energy-efficient Binary Gradient Cameras—0
Times series averaging and denoising from a probabilistic perspective on time-elastic kernelsCode0
Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures—0
Multi-Modality Fusion based on Consensus-Voting and 3D Convolution for Isolated Gesture Recognition—0
Hand Gesture Recognition for Contactless Device Control in Operating Rooms—0
Vision-based Engagement Detection in Virtual Reality—0
A Study of Vision based Human Motion Recognition and AnalysisCode0
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks—0
Dynamic Hand Gesture Recognition for Wearable Devices with Low Complexity Recurrent Neural Networks—0
Reasoning about Body-Parts Relations for Sign Language Recognition—0
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification—0
Human Computer Interaction Using Marker Based Hand Gesture RecognitionCode0
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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