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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 161–170 of 572 papers

Title	Date	Tasks	Status	Hype
Gesture Recognition based on Long-Short Term Memory Cells using Smartphone IMUs	Aug 16, 2023	Gesture Recognition	—Unverified	0
Long-Distance Gesture Recognition using Dynamic Neural Networks	Aug 9, 2023	Dynamic neural networksGesture Recognition	—Unverified	0
From Unimodal to Multimodal: improving sEMG-Based Pattern Recognition via deep generative models	Aug 8, 2023	Gesture RecognitionHand Gesture Recognition	—Unverified	0
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization	Aug 4, 2023	Activity RecognitionGesture Recognition	—Unverified	0
Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks	Aug 2, 2023	Depth EstimationGesture Recognition	—Unverified	0
Hierarchical Semi-Supervised Learning Framework for Surgical Gesture Segmentation and Recognition Based on Multi-Modality Data	Jul 31, 2023	Gesture RecognitionSegmentation	—Unverified	0
Joint Skeletal and Semantic Embedding Loss for Micro-gesture Classification	Jul 20, 2023	Action ClassificationClassification	CodeCode Available	0
Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned	Jun 29, 2023	Gesture RecognitionPose Estimation	—Unverified	0
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing	Jun 29, 2023	Activity RecognitionDecision Making	CodeCode Available	1
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks	Jun 27, 2023	Audio ClassificationEvent-based Optical Flow	CodeCode Available	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