OxWearables / capture24Links
CAPTURE-24: Human activity recognition with activity trackers
☆48Updated last year
Alternatives and similar repositories for capture24
Users that are interested in capture24 are comparing it to the libraries listed below
Sorting:
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆137Updated last year
- Code for RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data (ICLR 2025)☆20Updated 7 months ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆43Updated 4 years ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆61Updated 8 months ago
- (ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals☆116Updated 4 months ago
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆22Updated 3 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆30Updated 3 years ago
- ☆17Updated 3 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆26Updated 3 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆41Updated 4 years ago
- ☆10Updated 2 years ago
- ☆65Updated 2 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆26Updated last year
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆31Updated 4 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆319Updated 11 months ago
- Baseline Machine Learning models for the Human Activity Recognition Trondheim (HARTH) dataset☆37Updated 10 months ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 4 years ago
- A Foundation Model for Multivariate Wearable Sensing of Physiological Signals.☆35Updated 5 months ago
- ☆24Updated 3 years ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆58Updated 3 years ago
- ☆86Updated last year
- In this work, we introduce Region-Disentangled Diffusion Model (RDDM), a novel diffusion model designed to capture the complex temporal d…☆58Updated last year
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- Transformer for Human Activity Recognition☆76Updated 2 years ago
- [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS☆54Updated 3 years ago
- A collection of deep learning models for ECG data processing based on fairseq framework☆136Updated 4 months ago
- Repository for the paper: 'Diffusion-based Conditional ECG Generation with Structured State Space Models'☆66Updated 7 months ago
- Interpretable Pre-Trained Transformers for Heart Time-Series Data☆47Updated 3 months ago