OxWearables / capture24
CAPTURE-24: Human activity recognition with activity trackers
☆28Updated 3 months ago
Alternatives and similar repositories for capture24:
Users that are interested in capture24 are comparing it to the libraries listed below
- Contrastive Learning (SimCLR) for Human Activity Recognition☆75Updated 3 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆23Updated last year
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆51Updated 4 months ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆119Updated 4 months ago
- DeepConvLSTM implemented in python 3 and pytorch☆25Updated 3 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆40Updated 3 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆28Updated 2 years ago
- ☆8Updated 6 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆28Updated 4 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆23Updated 2 years ago
- ☆11Updated 2 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- ☆59Updated 2 years ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆51Updated 2 years ago
- Code for the technical report on the ActiLife counts algorithm.☆35Updated 6 months ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆57Updated 2 months ago
- Transformer for Human Activity Recognition☆70Updated 2 years ago
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆18Updated 3 years ago
- Baseline Machine Learning models for the Human Activity Recognition Trondheim (HARTH) dataset☆28Updated last month
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆37Updated 3 years ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆39Updated last year
- Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991☆54Updated last year
- Official implementation of SWL-Adapt.☆14Updated last year
- Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor☆30Updated 5 years ago
- In this work, we introduce Region-Disentangled Diffusion Model (RDDM), a novel diffusion model designed to capture the complex temporal d…☆42Updated 9 months ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 3 years ago
- [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS☆52Updated 2 years ago