SOTAVerified|Agents Browse Leaderboard About

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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–60 of 572 papers

Title	Date	Tasks	Status	Hype
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining	Apr 20, 2022	EEGElectroencephalogram (EEG)	CodeCode Available	1
Online Training Through Time for Spiking Neural Networks	Oct 9, 2022	Event data classificationGesture Recognition	CodeCode Available	1
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs	Apr 3, 2024	Gesture RecognitionHand Gesture Recognition	CodeCode Available	1
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation	Mar 2, 2020	Emotion ClassificationEmotion Recognition	CodeCode Available	1
A 2-μJ, 12-class, 91% Accuracy Spiking Neural Network Approach For Radar Gesture Recognition	Aug 5, 2021	Gesture Recognition	CodeCode Available	1
Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition	Feb 10, 2021	Gesture RecognitionNeural Architecture Search	CodeCode Available	1
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition	Aug 21, 2020	Gesture RecognitionNeural Architecture Search	CodeCode Available	1
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition	Mar 19, 2022	Action ClassificationAction Recognition	CodeCode Available	1
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks	Oct 11, 2022	Audio ClassificationGesture Recognition	CodeCode Available	1
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains	Nov 29, 2022	blind source separationGesture Recognition	CodeCode Available	1

Show:10 25 50

← PrevPage 6 of 58Next →

All datasets DVS128 Gesture CapgMyo DB-a CapgMyo DB-b CapgMyo DB-c ChaLearn 2013 Chalearn 2014 ChaLearn 2016 GesturePod Montalbano MSRC-12 Ninapro DB-1 12 gestures Ninapro DB-1 8 gestures

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TENNs-PLEIADES	Accuracy (%)	100	—	Unverified
2	mMND (BPTT)	Accuracy (%)	98	—	Unverified
3	EGRU	Accuracy (%)	97.8	—	Unverified
4	AlexNet+LSTM	Accuracy (%)	97.73	—	Unverified
5	S-TLLR	Accuracy (%)	97.72	—	Unverified
6	Event-SSM	Accuracy (%)	97.7	—	Unverified
7	STL-SNN	Accuracy (%)	97.22	—	Unverified
8	OTTT	Accuracy (%)	96.88	—	Unverified
9	STS-ResNet	Accuracy (%)	96.7	—	Unverified
10	mMND (STDP)	Accuracy (%)	96.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	2SRNN	Accuracy	97.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	2SRNN	Accuracy	97.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	2SRNN	Accuracy	96.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	3S Net TTM	Accuracy	92.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	3D-CNN + LSTM	Accuracy	93.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	3S Net TTM	Accuracy	39.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GesturePod	Real World Accuracy	92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Temp Conv + LSTM	Error rate	2.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	3S Net TTM	Accuracy	99.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	2SRNN	Accuracy	84.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	2SRNN	Accuracy	90.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PointLSTM	14 gestures accuracy	95.9	—	Unverified