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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 431–440 of 572 papers

Title	Date	Tasks	Status	Hype
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention	Jul 20, 2019	Gesture RecognitionHand Gesture Recognition	CodeCode Available	0
Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping	Jun 25, 2019	Dynamic Time WarpingGeneral Classification	CodeCode Available	0
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models	Jun 17, 2019	Action RecognitionGesture Recognition	—Unverified	0
S-ConvNet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images	Jun 8, 2019	Efficient Neural NetworkGesture Recognition	—Unverified	0
In-memory hyperdimensional computing	Jun 4, 2019	AttributeClassification	—Unverified	0
Improved Optical Flow for Gesture-based Human-robot Interaction	May 21, 2019	Gesture RecognitionOptical Flow Estimation	—Unverified	0
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks	May 20, 2019	3D Shape Classification3D Shape Retrieval	—Unverified	0
A neural network based on SPD manifold learning for skeleton-based hand gesture recognition	Apr 29, 2019	Gesture RecognitionHand Gesture Recognition	—Unverified	0
GestARLite: An On-Device Pointing Finger Based Gestural Interface for Smartphones and Video See-Through Head-Mounts	Apr 19, 2019	Deep LearningGeneral Classification	—Unverified	0
Dynamic Gesture Recognition by Using CNNs and Star RGB: a Temporal Information Condensation	Apr 10, 2019	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