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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 531–540 of 572 papers

Title	Date	Tasks	Status	Hype
RGBD Datasets: Past, Present and Future	Apr 4, 2016	Gesture RecognitionObject	—Unverified	0
Multi-velocity neural networks for gesture recognition in videos	Mar 22, 2016	Action RecognitionGeneral Classification	—Unverified	0
Deep video gesture recognition using illumination invariants	Mar 21, 2016	Gesture Recognition	—Unverified	0
Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference	Jan 27, 2016	Activity RecognitionGesture Recognition	—Unverified	0
A simple technique for improving multi-class classification with neural networks	Jan 6, 2016	ClassificationGeneral Classification	—Unverified	0
A pragmatic approach to multi-class classification	Jan 6, 2016	ClassificationGeneral Classification	—Unverified	0
Rank Pooling for Action Recognition	Dec 6, 2015	Action RecognitionGesture Recognition	CodeCode Available	0
What's the point? Frame-wise Pointing Gesture Recognition with Latent-Dynamic Conditional Random Fields	Oct 20, 2015	General ClassificationGesture Recognition	—Unverified	0
Hand Gesture Recognition Library	Jul 19, 2015	Gesture RecognitionHand Gesture Recognition	—Unverified	0
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video	Jun 5, 2015	Gesture RecognitionImage Captioning	CodeCode Available	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