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 1–10 of 572 papers

Title	Date	Tasks	Status	Hype	Score
HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition	Dec 2, 2024	Gesture RecognitionHand Detection	CodeCode Available	4	5
BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis	Mar 10, 2022	Gesture GenerationGesture Recognition	CodeCode Available	3	5
SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing	Jul 16, 2022	Activity RecognitionDeep Learning	CodeCode Available	2	5
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency	Jun 17, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	2	5
A Simple Baseline for Efficient Hand Mesh Reconstruction	Mar 4, 2024	3D Hand Pose EstimationComputational Efficiency	CodeCode Available	2	5
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning	Apr 12, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	2	5
HaGRID - HAnd Gesture Recognition Image Dataset	Jun 16, 2022	Gesture RecognitionHand Detection	CodeCode Available	2	5
A 2-μJ, 12-class, 91% Accuracy Spiking Neural Network Approach For Radar Gesture Recognition	Aug 5, 2021	Gesture Recognition	CodeCode Available	1	5
An Efficient PointLSTM for Point Clouds Based Gesture Recognition	Jun 1, 2020	Gesture RecognitionHand Gesture Recognition	CodeCode Available	1	5
Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip Detection	Jan 6, 2021	Fingertip DetectionGesture Recognition	CodeCode Available	1	5

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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