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
You Can Wash Hands Better: Accurate Daily Handwashing Assessment with a SmartwatchCode0
Gesture Recognition with a Skeleton-Based Keyframe Selection Module—0
Unsupervised Domain Adaptation for RF-based Gesture Recognition—0
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation—0
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition—0
On-device Real-time Hand Gesture Recognition—0
Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism—0
Real-time, low-cost multi-person 3D pose estimation—0
A manifold learning approach for gesture recognition from micro-Doppler radar measurements—0
Encoding Event-Based Gesture Data With a Hybrid SNN Guided Variational Auto-encoder—0
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods—0
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification—0
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition—0
Natural Typing Recognition via Surface Electromyography—0
Dynamic Gesture Recognition—0
KNN Learning Techniques for Proportional Myocontrol in Prosthetics—0
Neural Network Based Lidar Gesture Recognition for Realtime Robot Teleoperation—0
Integrating Sensing and Communication in Cellular Networks via NR Sidelink—0
Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds—0
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand HygieneCode0
LIGAR: Lightweight General-purpose Action Recognition—0
Real-time Indian Sign Language (ISL) Recognition—0
Hand Hygiene Video Classification Based on Deep Learning—0
MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam—0
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning—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