Papers with Code 아카이브

Gesture Recognition

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하위 태스크: 3
평가표: 13
보존된 평가 기록: 26

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/bfernando/videodarwin

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Rank Pooling for Action Recognition

https://github.com/201528014227051/sged

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SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition

https://github.com/3190105222/egoev_gesture

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EgoEvGesture: Gesture Recognition Based on Egocentric Event Camera

https://github.com/ADA-SITE-JML/azsl_dataloader

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AzSLD: Azerbaijani Sign Language Dataset for Fingerspelling, Word, and Sentence Translation with Baseline Software

https://github.com/DI-HGR/cross_domain_gesture_dataset

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Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal

https://github.com/Efficient-Scalable-Machine-Learning/event-ssm

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Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

https://github.com/FABallemand/ProjetCassiopee

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Deep self-supervised learning with visualisation for automatic gesture recognition

https://github.com/FYP-Air-Signature/Air-Signature

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Air Signing and Privacy-Preserving Signature Verification for Digital Documents

https://github.com/Gbouna/RE-TCN

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Action Recognition in Real-World Ambient Assisted Living Environment

https://github.com/GibranBenitez/IPN-hand

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IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition

https://github.com/Giguelingueling/MyoArmbandDataset

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Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

https://github.com/GorkaAbad/Sneaky-Spikes

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Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data

https://github.com/Ha0Tang/HandGestureRecognition

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Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

https://github.com/HuCui2022/DSTSA-GCN_Gesture

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DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling

https://github.com/ID56/Multimodal-Fusion-CRNN

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A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System

https://github.com/Ilya-Muromets/DuoDepth

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Duodepth: Static Gesture Recognition Via Dual Depth Sensors

https://github.com/IntelRealSense/librealsense

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Intel RealSense Stereoscopic Depth Cameras

https://github.com/Khushi-739/SLRNet

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SLRNet: A Real-Time LSTM-Based Sign Language Recognition System

https://github.com/Maghoumi/DeepGRU

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DeepGRU: Deep Gesture Recognition Utility

https://github.com/MahmudulAlam/Unified-Gesture-and-Fingertip-Detection

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Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip Detection

https://github.com/MansoorehMontazerin/Vision-Transformer_EMG

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ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals

https://github.com/PantoMatrix/PantoMatrix

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BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis

https://github.com/PhilipCorr/numeral-gesture-dataset

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Open Source Dataset and Deep Learning Models for Online Digit Gesture Recognition on Touchscreens

https://github.com/RS2002/CrossFi

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CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network

https://github.com/RS2002/KNN-MMD

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KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment

https://github.com/Tab-ct/STSC-SNN

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STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks

https://github.com/UlysseCoteAllard/LongTermEMG

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A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition

https://github.com/UlysseCoteAllard/sEMG_handCraftedVsLearnedFeatures

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Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features

https://github.com/VUT-HFUT/MiGA2023_Track1

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Joint Skeletal and Semantic Embedding Loss for Micro-gesture Classification

https://github.com/Westlake-AI/OpenBioSeq

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Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining

https://github.com/X-Intelligence-Labs/Duo-Streamers

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Duo Streamers: A Streaming Gesture Recognition Framework

https://github.com/ZihaoZhao/SpikeGatingFlow

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The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition

https://github.com/ZitongYu/3DCDC-NAS

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Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition

https://github.com/a-moin/flexemg

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An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier

https://github.com/aa-samad/conv_snn

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Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction

https://github.com/againerju/tcg_recognition

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Traffic Control Gesture Recognition for Autonomous Vehicles

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