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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 391–400 of 572 papers

Title	Date	Tasks	Status	Hype	Score
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition	Aug 1, 2020	3D Action RecognitionAction Classification	—Unverified	0	0
Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks	Jan 11, 2020	Activity RecognitionGesture Recognition	—Unverified	0	0
Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning	Dec 5, 2023	Gesture RecognitionOpen Set Learning	—Unverified	0	0
Towards Open-World Gesture Recognition	Jan 20, 2024	Continual LearningGesture Recognition	—Unverified	0	0
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models	Jun 17, 2019	Action RecognitionGesture Recognition	—Unverified	0	0
Towards Robust and Interpretable EMG-based Hand Gesture Recognition using Deep Metric Meta Learning	Apr 17, 2024	Electromyography (EMG)Gesture Recognition	—Unverified	0	0
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration	Nov 14, 2024	EEGEeg Decoding	—Unverified	0	0
TraHGR: Transformer for Hand Gesture Recognition via ElectroMyography	Mar 28, 2022	Few-Shot LearningGesture Recognition	—Unverified	0	0
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification	Jun 26, 2016	ClassificationGeneral Classification	—Unverified	0	0
Transfer: Cross Modality Knowledge Transfer using Adversarial Networks -- A Study on Gesture Recognition	Jun 26, 2023	Gesture RecognitionTransfer Learning	—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