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 476–500 of 572 papers

TitleStatusHype
Appearance-based Gesture recognition in the compressed domain—0
A pragmatic approach to multi-class classification—0
A Probabilistic Modeling Approach to One-Shot Gesture Recognition—0
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition—0
A Real-time Hand Gesture Recognition and Human-Computer Interaction System—0
Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems—0
A simple technique for improving multi-class classification with neural networks—0
ASL Recognition with Metric-Learning based Lightweight Network—0
A Speech and Gesture Spatial Corpus in Assisted Living—0
A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects—0
A Transformer Architecture for Online Gesture Recognition of Mathematical Expressions—0
A Two-stream Neural Network for Pose-based Hand Gesture Recognition—0
Audio-Visual Speech and Gesture Recognition by Sensors of Mobile Devices—0
Automated Patient Positioning with Learned 3D Hand Gestures—0
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search—0
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition—0
Body Gesture Recognition to Control a Social Robot—0
Breaking the Barriers: Video Vision Transformers for Word-Level Sign Language Recognition—0
CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control—0
CGAP2: Context and gap aware predictive pose framework for early detection of gestures—0
ChaLearn Looking at People: A Review of Events and Resources—0
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition—0
Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks—0
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition—0
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis—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