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 1–10 of 572 papers

TitleStatusHype
Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate RepresentationCode0
Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions—0
How do Foundation Models Compare to Skeleton-Based Approaches for Gesture Recognition in Human-Robot Interaction?—0
Wi-Fi Sensing Tool Release: Gathering 802.11ax Channel State Information from a Commercial Wi-Fi Access Point—0
Accessible Gesture-Driven Augmented Reality Interaction System—0
SLRNet: A Real-Time LSTM-Based Sign Language Recognition SystemCode0
Diver-Robot Communication Dataset for Underwater Hand Gesture Recognition—0
DiG-Net: Enhancing Quality of Life through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics—0
Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature ReplayCode1
DeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems—0
Show:102550
← PrevPage 1 of 58Next →
All datasetsDVS128 GestureCapgMyo DB-aCapgMyo DB-bCapgMyo DB-cChaLearn 2013Chalearn 2014ChaLearn 2016GesturePodMontalbanoMSRC-12Ninapro DB-1 12 gesturesNinapro DB-1 8 gestures

Benchmark Results

#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy97.1—Unverified