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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 381–390 of 572 papers

Title	Date	Tasks	Status	Hype
TheRuSLan: Database of Russian Sign Language	May 1, 2020	Gesture RecognitionSign Language Recognition	—Unverified	0
Low-latency hand gesture recognition with a low resolution thermal imager	Apr 24, 2020	Gesture RecognitionHand Gesture Recognition	CodeCode Available	0
Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs	Apr 21, 2020	Gesture RecognitionSentence	—Unverified	0
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition	Apr 20, 2020	Gesture RecognitionHand Gesture Recognition	CodeCode Available	1
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition	Apr 20, 2020	Gesture RecognitionLifelong learning	CodeCode Available	1
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables	Apr 15, 2020	Activity RecognitionGesture Recognition	—Unverified	0
ASL Recognition with Metric-Learning based Lightweight Network	Apr 10, 2020	Action RecognitionAutonomous Driving	—Unverified	0
Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition	Apr 8, 2020	Gesture RecognitionTransfer Learning	—Unverified	0
What and Where: Modeling Skeletons from Semantic and Spatial Perspectives for Action Recognition	Apr 7, 2020	Action RecognitionGesture Recognition	—Unverified	0
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction	Mar 10, 2020	Gesture RecognitionSurgical 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