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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
Duodepth: Static Gesture Recognition Via Dual Depth Sensors	Jun 25, 2020	General ClassificationGesture Recognition	CodeCode Available	0
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range Radars	Jun 25, 2020	Gesture RecognitionHand Gesture Recognition	CodeCode Available	0
Object recognition through pose and shape estimation	Jun 23, 2020	Gesture RecognitionObject	—Unverified	0
Decoupled Representation Learning for Skeleton-Based Gesture Recognition	Jun 1, 2020	Gesture RecognitionRepresentation Learning	—Unverified	0
Invariant 3D Shape Recognition using Predictive Modular Neural Networks	May 23, 2020	3D Shape RecognitionAction Recognition	—Unverified	0
Feature selection for gesture recognition in Internet-of-Things for healthcare	May 22, 2020	ClusteringEEG	—Unverified	0
Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform	May 20, 2020	Action DetectionActivity Detection	—Unverified	0
TheRuSLan: Database of Russian Sign Language	May 1, 2020	Gesture RecognitionSign Language Recognition	—Unverified	0
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition	May 1, 2020	Gesture RecognitionModel Selection	—Unverified	0
Optimised Preprocessing for Automatic Mouth Gesture Classification	May 1, 2020	ClassificationGeneral Classification	—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