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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 101–110 of 572 papers

Title	Date	Tasks	Status	Hype
Computational ergonomics for task delegation in Human-Robot Collaboration: spatiotemporal adaptation of the robot to the human through contactless gesture recognition	Mar 21, 2022	Gesture Recognition	—Unverified	0
Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer	Dec 24, 2024	Gesture Recognitionmultimodal interaction	—Unverified	0
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables	Apr 15, 2020	Activity RecognitionGesture Recognition	—Unverified	0
CONDUCT: An Expressive Conducting Gesture Dataset for Sound Control	May 1, 2018	Gesture Recognition	—Unverified	0
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition	May 1, 2020	Gesture RecognitionModel Selection	—Unverified	0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures	Oct 13, 2020	Emotion ClassificationEmotion Recognition	—Unverified	0
Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation	Dec 16, 2020	Domain AdaptationGesture Recognition	—Unverified	0
Continuous Human Action Detection Based on Wearable Inertial Data	Dec 11, 2021	Action DetectionGesture Recognition	—Unverified	0
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning	May 22, 2023	Action RecognitionColorization	—Unverified	0
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition	Jul 29, 2019	Gesture 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