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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 71–80 of 572 papers

Title	Date	Tasks	Status	Hype
Hand1000: Generating Realistic Hands from Text with Only 1,000 Images	Aug 28, 2024	AnatomyGesture Recognition	—Unverified	0
Towards Battery-Free Wireless Sensing via Radio-Frequency Energy Harvesting	Aug 26, 2024	Activity RecognitionGesture 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
Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs	Aug 23, 2024	Edge-computingGesture Recognition	—Unverified	0
N-DriverMotion: Driver motion learning and prediction using an event-based camera and directly trained spiking neural networks on Loihi 2	Aug 23, 2024	Autonomous VehiclesEfficient Neural Network	—Unverified	0
Data-Free Class Incremental Gesture Recognition via Synthetic Feature Sampling	Aug 21, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network	Aug 20, 2024	Action ClassificationAction Classification (1-shot)	CodeCode Available	1
An Advanced Deep Learning Based Three-Stream Hybrid Model for Dynamic Hand Gesture Recognition	Aug 15, 2024	Deep LearningGesture Recognition	—Unverified	0
A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities	Aug 10, 2024	ArticlesEEG	—Unverified	0
Prototype Learning for Micro-gesture Classification	Aug 6, 2024	Action 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