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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 151–160 of 572 papers

Title	Date	Tasks	Status	Hype
A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning	Sep 23, 2023	DecoderGesture Recognition	—Unverified	0
Down-Sampling coupled to Elastic Kernel Machines for Efficient Recognition of Isolated Gestures	Aug 18, 2014	Action RecognitionDimensionality Reduction	—Unverified	0
Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks With Spatiotemporal Transformer Modules	Oct 1, 2017	Gesture Recognition	—Unverified	0
Egocentric Hand Detection Via Dynamic Region Growing	Nov 10, 2017	Action RecognitionGesture Recognition	—Unverified	0
Dynamic Gesture Recognition	Sep 20, 2021	BIG-bench Machine LearningData Augmentation	—Unverified	0
Dynamic Hand Gesture-Featured Human Motor Adaptation in Tool Delivery using Voice Recognition	Sep 20, 2023	Gesture RecognitionHand Gesture Recognition	—Unverified	0
Dynamic Hand Gesture Recognition for Wearable Devices with Low Complexity Recurrent Neural Networks	Aug 14, 2016	Gesture RecognitionHand Gesture Recognition	—Unverified	0
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation	Nov 11, 2021	3D Hand Pose EstimationGesture Recognition	—Unverified	0
Dynamic Reconfiguration of Mission Parameters in Underwater Human-Robot Collaboration	Sep 26, 2017	Gesture RecognitionHand Gesture Recognition	—Unverified	0
Doppler-Radar Based Hand Gesture Recognition System Using Convolutional Neural Networks	Nov 7, 2017	Gesture RecognitionHand Gesture Recognition	—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