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 126–150 of 572 papers

TitleStatusHype
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces—0
CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control—0
Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction—0
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition—0
Egocentric Gesture Recognition for Head-Mounted AR devices—0
Breaking the Barriers: Video Vision Transformers for Word-Level Sign Language Recognition—0
Analysing Affective Behavior in the First ABAW 2020 Competition—0
Advanced Gesture Recognition in Autism: Integrating YOLOv7, Video Augmentation and VideoMAE for Video Analysis—0
Body Gesture Recognition to Control a Social Robot—0
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition—0
An Advanced Deep Learning Based Three-Stream Hybrid Model for Dynamic Hand Gesture Recognition—0
Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks—0
A multimodal gesture recognition dataset for desktop human-computer interaction—0
Ecological Gestures for HRI: the GEE Corpus—0
A Diffusion-based Data Generator for Training Object Recognition Models in Ultra-Range Distance—0
A Multimodal Framework for Explainable Evaluation of Soft Skills in Educational Environments—0
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks—0
Edge Training and Inference with Analog ReRAM Technology for Hand Gesture Recognition—0
Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data—0
Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks With Spatiotemporal Transformer Modules—0
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search—0
Automated Patient Positioning with Learned 3D Hand Gestures—0
A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition—0
A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities—0
A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer 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