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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 141–150 of 572 papers

Title	Date	Tasks	Status	Hype
A Multimodal Framework for Explainable Evaluation of Soft Skills in Educational Environments	May 3, 2025	Decision MakingGesture Recognition	—Unverified	0
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks	Mar 12, 2021	Audio Classificationdomain classification	—Unverified	0
Ecological Gestures for HRI: the GEE Corpus	May 1, 2016	Gesture Recognition	—Unverified	0
Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks	May 14, 2022	Gesture RecognitionObject Recognition	—Unverified	0
Egocentric Gesture Recognition for Head-Mounted AR devices	Aug 16, 2018	Data AugmentationGesture Recognition	—Unverified	0
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search	Feb 20, 2020	Action SegmentationGesture Recognition	—Unverified	0
Automated Patient Positioning with Learned 3D Hand Gestures	Jul 20, 2024	Gesture RecognitionHand Detection	—Unverified	0
A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition	Sep 13, 2023	Gesture RecognitionMulti-Label Classification	—Unverified	0
A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities	Aug 10, 2024	ArticlesEEG	—Unverified	0
A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning	Sep 23, 2023	DecoderGesture Recognition	—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