SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 276–300 of 572 papers

TitleStatusHype
Stream State-tying for Sign Language Recognition—0
Study and Survey on Gesture Recognition Systems—0
SuperResolution Radar Gesture Recognitio—0
Surface EMG-Based Inter-Session/Inter-Subject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learning—0
Surgical Gesture Recognition Based on Bidirectional Multi-Layer Independently RNN with Explainable Spatial Feature Extraction—0
Surgical Gesture Recognition with Optical Flow only—0
Survey on Hand Gesture Recognition from Visual Input—0
Survey on Various Gesture Recognition Techniques for Interfacing Machines Based on Ambient Intelligence—0
Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications—0
Dynamic Gesture Recognition by Using CNNs and Star RGB: a Temporal Information Condensation—0
Teaching Arm and Head Gestures to a Humanoid Robot through Interactive Demonstration and Spoken Instruction—0
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification—0
Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds—0
The Gesture Authoring Space: Authoring Customised Hand Gestures for Grasping Virtual Objects in Immersive Virtual Environments—0
The Herme Database of Spontaneous Multimodal Human-Robot Dialogues—0
TheRuSLan: Database of Russian Sign Language—0
Time Frequency Analysis of EMG Signal for Gesture Recognition using Fine grained Features—0
Towards Battery-Free Wireless Sensing via Radio-Frequency Energy Harvesting—0
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition—0
Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks—0
Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning—0
Towards Open-World Gesture Recognition—0
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models—0
Towards Robust and Interpretable EMG-based Hand Gesture Recognition using Deep Metric Meta Learning—0
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration—0
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All datasetsDVS128 GestureCapgMyo DB-aCapgMyo DB-bCapgMyo DB-cChaLearn 2013Chalearn 2014ChaLearn 2016GesturePodMontalbanoMSRC-12Ninapro DB-1 12 gesturesNinapro DB-1 8 gestures

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TENNs-PLEIADESAccuracy (%)100—Unverified
2mMND (BPTT)Accuracy (%)98—Unverified
3EGRUAccuracy (%)97.8—Unverified
4AlexNet+LSTMAccuracy (%)97.73—Unverified
5S-TLLRAccuracy (%)97.72—Unverified
6Event-SSMAccuracy (%)97.7—Unverified
7STL-SNNAccuracy (%)97.22—Unverified
8OTTTAccuracy (%)96.88—Unverified
9STS-ResNetAccuracy (%)96.7—Unverified
10mMND (STDP)Accuracy (%)96.6—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy97.1—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy97.1—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy96.8—Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy92.08—Unverified
#ModelMetricClaimedVerifiedStatus
13D-CNN + LSTMAccuracy93.2—Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy39.95—Unverified
#ModelMetricClaimedVerifiedStatus
1GesturePodReal World Accuracy92—Unverified
#ModelMetricClaimedVerifiedStatus
1Temp Conv + LSTMError rate2.77—Unverified
#ModelMetricClaimedVerifiedStatus
13S Net TTMAccuracy99.01—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy84.7—Unverified
#ModelMetricClaimedVerifiedStatus
12SRNNAccuracy90.7—Unverified
#ModelMetricClaimedVerifiedStatus
1PointLSTM14 gestures accuracy95.9—Unverified