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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 351–360 of 572 papers

Title	Date	Tasks	Status	Hype	Score
Sensor fusion using EMG and vision for hand gesture classification in mobile applications	Oct 19, 2019	Electromyography (EMG)General Classification	—Unverified	0	0
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods	Sep 29, 2021	Gesture RecognitionImage Classification	—Unverified	0	0
Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference	Jan 27, 2016	Activity RecognitionGesture Recognition	—Unverified	0	0
ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty	Mar 17, 2023	Decision MakingGesture Recognition	—Unverified	0	0
Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition	Dec 31, 2019	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild	Jun 21, 2021	Action RecognitionGesture Recognition	—Unverified	0	0
SimplyMime: A Control at Our Fingertips	Apr 22, 2023	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0
The feasibility of Q-band millimeter wave on hand-gesture recognition for indoor FTTR scenario	Jul 22, 2022	Gesture RecognitionHand Gesture Recognition	—Unverified	0	0
Boosting Gesture Recognition with an Automatic Gesture Annotation Framework	Jan 20, 2024	Gesture Recognition	—Unverified	0	0
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition	Sep 18, 2019	Activity RecognitionCaption Generation	—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