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 551–572 of 572 papers

TitleStatusHype
InproTKs: A Toolkit for Incremental Situated Processing—0
Proofreading Human Translations with an E-pen—0
Gesture recognition based mouse events—0
One-Shot-Learning Gesture Recognition using HOG-HOF Features—0
Principal motion components for gesture recognition using a single-example—0
Real-Time and Continuous Hand Gesture Spotting: an Approach Based on Artificial Neural Networks—0
Head Gesture Recognition using Optical Flow based Classification with Reinforcement of GMM based Background Subtraction—0
Improving Continuous Sign Language Recognition: Speech Recognition Techniques and System Design—0
Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks—0
Hand Gesture Recognition Based on Karhunen-Loeve Transform—0
KooSHO: Japanese Text Input Environment based on Aerial Hand Writing—0
Extension of hidden markov model for recognizing large vocabulary of sign language—0
Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition—0
Intelligent Approaches to interact with Machines using Hand Gesture Recognition in Natural way: A Survey—0
HRItk: The Human-Robot Interaction ToolKit Rapid Development of Speech-Centric Interactive Systems in ROS—0
A Speech and Gesture Spatial Corpus in Assisted Living—0
The Herme Database of Spontaneous Multimodal Human-Robot Dialogues—0
A platform-independent user-friendly dictionary from Italian to LIS—0
Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data—0
Survey on Various Gesture Recognition Techniques for Interfacing Machines Based on Ambient Intelligence—0
Facial Gesture Recognition Using Correlation And Mahalanobis Distance—0
Gesture Recognition with a Focus on Important Actions by Using a Path Searching Method in Weighted Graph—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