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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/azazel7/paper-benchmark

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A benchmark of data stream classification for human activity recognition on connected objects

https://github.com/big-data-lab-team/benchmark-har-data-stream

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Reducing numerical precision preserves classification accuracy in Mondrian Forests

https://github.com/big-data-lab-team/paper-generalizability-window-size

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Subject Cross Validation in Human Activity Recognition

https://github.com/blue-yonder/tsfresh

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Feature engineering workflow for activity recognition from synchronized inertial measurement units

https://github.com/bornabr/rscnet

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RSCNet: Dynamic CSI Compression for Cloud-based WiFi Sensing

https://github.com/bulatkh/csshar_tfa

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Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition

https://github.com/chenxinyan-sg/wifi-csi-sensing-benchmark

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SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing

https://github.com/christianbresciani/nscep-spiking-NN

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Approaches to human activity recognition via passive radar

https://github.com/cruiseresearchgroup/ESPRESSO

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ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data

https://github.com/darkszchao/big-little_nn_strategies

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Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors

https://github.com/daspraty/stg-gradcam

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Towards a geometric understanding of Spatio Temporal Graph Convolution Networks

https://github.com/dbouchabou/using-language-model-to-bootstrap-human-activity-recognition-in-smart-homes

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Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes

https://github.com/debashish-saha1/HAR_UCI_DATASET_MISSING_DATA

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Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data

https://github.com/deepinmotion/autogcn

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AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search

https://github.com/deepinmotion/shapgcn

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Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative Measures

https://github.com/di0002ya/rfnet

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RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition

https://github.com/dmbee/fcn-core

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Personalized Activity Recognition with Deep Triplet Embeddings

https://github.com/ericssonresearch/uda-4-tsc

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Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark

https://github.com/ermongroup/Wifi_Activity_Recognition

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A Survey of Human Activity Recognition Using WiFi CSI

https://github.com/eth-siplab/Finding_Order_in_Chaos

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Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning

https://github.com/event-ahu/hardvs

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HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

https://github.com/event-ahu/uncertainty_aware_mobileformer

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Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern Recognition

https://github.com/fabienbaradel/glimpse_clouds

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Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

https://github.com/fabienbaradel/object_level_visual_reasoning

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Object Level Visual Reasoning in Videos

https://github.com/floft/calda

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CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning

https://github.com/fpetitjean/DBA

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Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones

https://github.com/francescodaghero/ultracompactbnn

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Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors

https://github.com/frederico-klein/cad-gas

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Human activity recognition from skeleton poses

https://github.com/getalp/FedAli

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FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal Transport

https://github.com/getalp/PerCom2021-FL

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A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison

https://github.com/getalp/lightweight-transformer-models-for-har-on-mobile-devices

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Lightweight Transformers for Human Activity Recognition on Mobile Devices

https://github.com/getalp/self-supervised-learning-har

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Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition

https://github.com/getalp/smartcomp2023-har-supervised-pretraining

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Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity

https://github.com/gmouyes/seal

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Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition

https://github.com/guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

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Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

https://github.com/gurkirt/actNet-inAct

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Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge

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