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 301–325 of 572 papers

TitleStatusHype
Optimised Preprocessing for Automatic Mouth Gesture Classification—0
Passive Motion Detection via mmWave Communication System—0
Persistence-based Structural Recognition—0
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks—0
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning—0
Phase-driven Domain Generalizable Learning for Nonstationary Time Series—0
Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing—0
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors—0
Towards Open-Set Myoelectric Gesture Recognition via Dual-Perspective Inconsistency Learning—0
Principal motion components for gesture recognition using a single-example—0
ProFi-Net: Prototype-based Feature Attention with Curriculum Augmentation for WiFi-based Gesture Recognition—0
Proofreading Human Translations with an E-pen—0
Prospects and Applications of Incoherent Light in Non-contact Wireless Sensing Systems—0
Radar-Based Recognition of Static Hand Gestures in American Sign Language—0
Real-Time and Continuous Hand Gesture Spotting: an Approach Based on Artificial Neural Networks—0
Real-Time and Robust Method for Hand Gesture Recognition System Based on Cross-Correlation Coefficient—0
Real-time Egocentric Gesture Recognition on Mobile Head Mounted Displays—0
Real-Time Gesture Recognition with Virtual Glove Markers—0
Real-Time Hand Gesture Identification in Thermal Images—0
Real-Time Human-Computer Interaction Based on Face and Hand Gesture Recognition—0
Real-time Indian Sign Language (ISL) Recognition—0
Real-time Interface Control with Motion Gesture Recognition based on Non-contact Capacitive Sensing—0
Real-time, low-cost multi-person 3D pose estimation—0
Real-Time Multimodal Signal Processing for HRI in RoboCup: Understanding a Human Referee—0
Real-Time Online Skeleton Extraction and Gesture Recognition on Pepper—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