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 376–400 of 572 papers

TitleStatusHype
Improved Static Hand Gesture Classification on Deep Convolutional Neural Networks using Novel Sterile Training Technique—0
Improving Continuous Sign Language Recognition: Speech Recognition Techniques and System Design—0
Improving Unimodal Inference with Multimodal Transformers—0
IMU-based Modularized Wearable Device for Human Motion Classification—0
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors—0
In-memory hyperdimensional computing—0
InproTKs: A Toolkit for Incremental Situated Processing—0
Integrating Sensing and Communication in Cellular Networks via NR Sidelink—0
Intelligent Approaches to interact with Machines using Hand Gesture Recognition in Natural way: A Survey—0
Interpretable Underwater Diver Gesture Recognition—0
Invariant 3D Shape Recognition using Predictive Modular Neural Networks—0
It's all about you: Personalized in-Vehicle Gesture Recognition with a Time-of-Flight Camera—0
Pose2Gest: A Few-Shot Model-Free Approach Applied In South Indian Classical Dance Gesture Recognition—0
Kinect Sensor Based Gesture Recognition for Surveillance Application—0
KNN Learning Techniques for Proportional Myocontrol in Prosthetics—0
KooSHO: Japanese Text Input Environment based on Aerial Hand Writing—0
Language Modeling on a SpiNNaker 2 Neuromorphic Chip—0
LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution—0
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks—0
Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks—0
Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition—0
LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices—0
LIGAR: Lightweight General-purpose Action Recognition—0
Light-weighted CNN-Attention based architecture for Hand Gesture Recognition via ElectroMyography—0
Literature on Hand GESTURE Recognition using Graph based methods—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