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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 151–160 of 572 papers

Title	Date	Tasks	Status	Hype	Score
Decoupled Representation Learning for Skeleton-Based Gesture Recognition	Jun 1, 2020	Gesture RecognitionRepresentation Learning	—Unverified	0	0
Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data	Oct 28, 2011	Gesture Recognition	—Unverified	0	0
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition	Sep 29, 2020	Generalized Zero-Shot LearningGesture Recognition	—Unverified	0	0
A Probabilistic Modeling Approach to One-Shot Gesture Recognition	Feb 17, 2020	Gesture Recognition	—Unverified	0	0
Agile gesture recognition for low-power applications: customisation for generalisation	Mar 12, 2024	Few-Shot LearningGesture Recognition	—Unverified	0	0
Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing	Jan 2, 2019	General ClassificationGesture Recognition	—Unverified	0	0
Data-Free Class Incremental Gesture Recognition via Synthetic Feature Sampling	Aug 21, 2024	class-incremental learningClass Incremental Learning	—Unverified	0	0
CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification	Jun 26, 2024	Generative Adversarial NetworkGesture Recognition	—Unverified	0	0
A pragmatic approach to multi-class classification	Jan 6, 2016	ClassificationGeneral Classification	—Unverified	0	0
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition	Mar 31, 2022	Gesture Recognition	—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