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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 201–210 of 572 papers

Title	Date	Tasks	Status	Hype	Score
A Dynamic Modelling Framework for Human Hand Gesture Task Recognition	Nov 10, 2019	Gesture Recognition	—Unverified	0	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	0
Fast Gesture Recognition with Multiple Stream Discrete HMMs on 3D Skeletons	Mar 8, 2017	AllClassification	—Unverified	0	0
Fast Monocular Hand Pose Estimation on Embedded Systems	Feb 14, 2021	DecoderGesture 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
Feasibility of Principal Component Analysis in hand gesture recognition system	Feb 23, 2017	Dimensionality ReductionFace Detection	—Unverified	0	0
Feature selection for gesture recognition in Internet-of-Things for healthcare	May 22, 2020	ClusteringEEG	—Unverified	0	0
Facial Expression Phoenix (FePh): An Annotated Sequenced Dataset for Facial and Emotion-Specified Expressions in Sign Language	Mar 3, 2020	Gesture RecognitionSign Language Recognition	—Unverified	0	0
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge	Feb 14, 2017	BenchmarkingFacial Action Unit Detection	—Unverified	0	0
Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction	Jul 31, 2024	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