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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 211–220 of 572 papers

Title	Date	Tasks	Status	Hype	Score
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	0
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition	Sep 28, 2021	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0
Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction	Jul 31, 2024	Gesture Recognition	—Unverified	0	0
FoodTrack: Estimating Handheld Food Portions with Egocentric Video	May 7, 2025	Gesture RecognitionNutrition	—Unverified	0	0
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data	May 10, 2021	Activity RecognitionGesture Recognition	—Unverified	0	0
Event-Driven Implementation of a Physical Reservoir Computing Framework for superficial EMG-based Gesture Recognition	Mar 10, 2025	Gesture RecognitionLow-latency processing	—Unverified	0	0
FORS-EMG: A Novel sEMG Dataset for Hand Gesture Recognition Across Multiple Forearm Orientations	Sep 3, 2024	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0
From Unimodal to Multimodal: improving sEMG-Based Pattern Recognition via deep generative models	Aug 8, 2023	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography	Nov 11, 2020	Domain AdaptationFew-Shot Learning	—Unverified	0	0
Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks	Jun 17, 2013	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