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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 171–180 of 572 papers

Title	Date	Tasks	Status	Hype
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks	Sep 3, 2019	Action RecognitionGesture Recognition	—Unverified	0
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics	Apr 4, 2025	Computational EfficiencyGesture Recognition	—Unverified	0
EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach	Aug 25, 2024	Electromyography (EMG)feature selection	—Unverified	0
EMG Signal Classification Using Reflection Coefficients and Extreme Value Machine	Jun 19, 2021	ClassificationGesture Recognition	—Unverified	0
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment	Mar 6, 2021	Domain AdaptationGesture Recognition	—Unverified	0
EMGTFNet: Fuzzy Vision Transformer to decode Upperlimb sEMG signals for Hand Gestures Recognition	Sep 23, 2023	Data AugmentationGesture Recognition	—Unverified	0
Emotion Recognition for In-the-wild Videos	Feb 13, 2020	Emotion RecognitionGeneral Classification	—Unverified	0
Encoding Event-Based Gesture Data With a Hybrid SNN Guided Variational Auto-encoder	Sep 29, 2021	Gesture RecognitionSelf-Supervised Learning	—Unverified	0
Audio-Visual Speech and Gesture Recognition by Sensors of Mobile Devices	Feb 17, 2023	Audio-Visual Speech RecognitionGesture Recognition	—Unverified	0
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification	Sep 29, 2021	Activity RecognitionClassification	—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