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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 461–470 of 572 papers

Title	Date	Tasks	Status	Hype	Score
A Multimodal Framework for Explainable Evaluation of Soft Skills in Educational Environments	May 3, 2025	Decision MakingGesture Recognition	—Unverified	0	0
A multimodal gesture recognition dataset for desktop human-computer interaction	Jan 8, 2024	DiversityGesture Recognition	—Unverified	0	0
An Advanced Deep Learning Based Three-Stream Hybrid Model for Dynamic Hand Gesture Recognition	Aug 15, 2024	Deep LearningGesture Recognition	—Unverified	0	0
Analysing Affective Behavior in the First ABAW 2020 Competition	Jan 30, 2020	Action Unit DetectionArousal Estimation	—Unverified	0	0
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition	Aug 13, 2020	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0
A neural network based on SPD manifold learning for skeleton-based hand gesture recognition	Apr 29, 2019	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0
An Evaluation Framework for Multimodal Interaction	May 1, 2018	Gesture Recognitionmultimodal interaction	—Unverified	0	0
An Evaluation of Large Pre-Trained Models for Gesture Recognition using Synthetic Videos	Oct 3, 2024	ClassificationGesture Recognition	—Unverified	0	0
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition	Mar 27, 2024	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0
A New GNG Graph-Based Hand Gesture Recognition Approach	Sep 8, 2019	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0

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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