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Human Activity Recognition

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하위 태스크: 1
평가표: 8
보존된 평가 기록: 16

Classify various human activities

코드

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

https://github.com/hamzaamrani/Deep-Inertial-Sensory-Clustering

공식 코드

Unsupervised Deep Learning-based clustering for Human Activity Recognition

https://github.com/helloworld1973/DNA-DA

공식 코드

Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred Learning

https://github.com/hfawaz/ijcnn19attacks

공식 코드

Adversarial Attacks on Deep Neural Networks for Time Series Classification

https://github.com/iantangc/ContrastiveLearningHAR

공식 코드

Exploring Contrastive Learning in Human Activity Recognition for Healthcare

https://github.com/iantangc/SelfHAR

공식 코드

SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data

https://github.com/information-fusion-lab-umass/multiwave

공식 코드

MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction

https://github.com/intelligent-computing-lab-yale/snn_har

공식 코드

Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks

https://github.com/izakariyya/idg-dp

공식 코드

Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition

https://github.com/jiany-ctrl/Crossmodal-KD-for-Vision-to-Sensor-HAR

공식 코드

Cross-modal Knowledge Distillation for Vision-to-Sensor Action Recognition

https://github.com/jie-su/bpd

공식 코드

Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition

https://github.com/jindongwang/transferlearning

공식 코드

Cross-domain Activity Recognition via Substructural Optimal Transport

https://github.com/jingyaojade/SpSt-GCN

공식 코드

Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution

https://github.com/jls2007/primask

공식 코드

PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference

https://github.com/joeybgofficial/through-the-wall-radar-human-activity-recognition-without-using-neural-networks

공식 코드

Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks

https://github.com/kaist-dmlab/monaq

공식 코드

MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices

https://github.com/kikihub/consense

공식 코드

ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking

https://github.com/kpeng9510/musclemap

공식 코드

Towards Activated Muscle Group Estimation in the Wild

https://github.com/kpeng9510/transdarc

공식 코드

TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration

https://github.com/kuangenzhang/edh

공식 코드

Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation

https://github.com/lab-emi/airhar

공식 코드

RadMamba: Efficient Human Activity Recognition through Radar-based Micro-Doppler-Oriented Mamba State-Space Model

https://github.com/lalasray/txp

공식 코드

TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition

https://github.com/lou1sm/online_hard_clustering

공식 코드

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

https://github.com/luyg45/hardnoboxattack

공식 코드

Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient

https://github.com/marcocominelli/csi-vae

공식 코드

Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data

https://github.com/mariusbock/context_har

공식 코드

DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition

https://github.com/mariusbock/dl-for-har

공식 코드

Improving Deep Learning for HAR with shallow LSTMs

https://github.com/mariusbock/dl-for-har/tree/main/tutorial_notebooks

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Tutorial on Deep Learning for Human Activity Recognition

https://github.com/mariusbock/leakage_har

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Label Leakage in Federated Inertial-based Human Activity Recognition

https://github.com/mariusbock/tal_for_har

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Temporal Action Localization for Inertial-based Human Activity Recognition

https://github.com/mariusbock/weak_har

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Weak-Annotation of HAR Datasets using Vision Foundation Models

https://github.com/mariusbock/wear

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WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition

https://github.com/maxxu05/relcon

공식 코드

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

https://github.com/mehrdadfazli/HHAR-Net

공식 코드

HHAR-net: Hierarchical Human Activity Recognition using Neural Networks

https://github.com/mgciszewski/improving_state_estimation_2022

공식 코드

Improving state estimation through projection post-processing for activity recognition with application to football

https://github.com/microsoft/robustlearn

공식 코드

Out-of-Distribution Representation Learning for Time Series Classification

https://github.com/mims-harvard/tfc-pretraining

공식 코드

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

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