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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 81–90 of 572 papers

Title	Date	Tasks	Status	Hype
A Non-Anatomical Graph Structure for isolated hand gesture separation in continuous gesture sequences	Jul 15, 2022	Boundary DetectionGesture Recognition	—Unverified	0
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception	Jan 1, 2025	Autonomous DrivingGesture Recognition	—Unverified	0
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition	May 1, 2020	Gesture RecognitionModel Selection	—Unverified	0
A New GNG Graph-Based Hand Gesture Recognition Approach	Sep 8, 2019	Gesture RecognitionHand Gesture Recognition	—Unverified	0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures	Oct 13, 2020	Emotion ClassificationEmotion Recognition	—Unverified	0
Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction	Jul 31, 2024	Gesture Recognition	—Unverified	0
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition	Mar 27, 2024	Gesture RecognitionHand Gesture Recognition	—Unverified	0
An Evaluation of Large Pre-Trained Models for Gesture Recognition using Synthetic Videos	Oct 3, 2024	ClassificationGesture Recognition	—Unverified	0
A Critical Analysis on Machine Learning Techniques for Video-based Human Activity Recognition of Surveillance Systems: A Review	Sep 1, 2024	Activity RecognitionGesture Recognition	—Unverified	0
An Evaluation Framework for Multimodal Interaction	May 1, 2018	Gesture Recognitionmultimodal interaction	—Unverified	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