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 476500 of 572 papers

TitleStatusHype
Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition0
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks0
Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild0
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional ClassifierCode0
Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic samplingCode0
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer LearningCode0
Learning Deep and Compact Models for Gesture RecognitionCode0
Real-time Egocentric Gesture Recognition on Mobile Head Mounted Displays0
Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing0
Multivariate Time Series Classification with WEASEL+MUSECode0
Hand Gesture Recognition with Leap Motion0
Egocentric Hand Detection Via Dynamic Region Growing0
Doppler-Radar Based Hand Gesture Recognition System Using Convolutional Neural Networks0
Deformable Deep Convolutional Generative Adversarial Network in Microwave Based Hand Gesture Recognition System0
High Five: Improving Gesture Recognition by Embracing Uncertainty0
Hand Gesture Recognition Using Ultrasonic Waves0
Using Deep Convolutional Networks for Gesture Recognition in American Sign LanguageCode0
Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks With Spatiotemporal Transformer Modules0
Dynamic Reconfiguration of Mission Parameters in Underwater Human-Robot Collaboration0
Open Source Dataset and Deep Learning Models for Online Digit Gesture Recognition on TouchscreensCode0
Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition0
Wisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified SmartphonesCode0
Deep Fisher Discriminant Learning for Mobile Hand Gesture RecognitionCode0
Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs0
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TENNs-PLEIADESAccuracy (%)100Unverified
2mMND (BPTT)Accuracy (%)98Unverified
3EGRUAccuracy (%)97.8Unverified
4AlexNet+LSTMAccuracy (%)97.73Unverified
5S-TLLRAccuracy (%)97.72Unverified
6Event-SSMAccuracy (%)97.7Unverified
7STL-SNNAccuracy (%)97.22Unverified
8OTTTAccuracy (%)96.88Unverified
9STS-ResNetAccuracy (%)96.7Unverified
10mMND (STDP)Accuracy (%)96.6Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy97.1Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy97.1Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy96.8Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy92.08Unverified
#ModelMetricClaimedVerifiedStatus
13D-CNN + LSTMAccuracy93.2Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy39.95Unverified
#ModelMetricClaimedVerifiedStatus
1GesturePodReal World Accuracy92Unverified
#ModelMetricClaimedVerifiedStatus
1Temp Conv + LSTMError rate2.77Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy99.01Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy84.7Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy90.7Unverified
#ModelMetricClaimedVerifiedStatus
1PointLSTM14 gestures accuracy95.9Unverified