njtwomey / har_datasetsLinks
A repository for unified analysis of accelerometer-based human activity recognition.
☆36Updated 2 years ago
Alternatives and similar repositories for har_datasets
Users that are interested in har_datasets are comparing it to the libraries listed below
Sorting:
- Encoding human activity by considering salient sensors and time points.☆41Updated 2 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 3 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated 2 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆27Updated 3 years ago
- A sample code of data augmentation methods for wearable sensor data (time-series data)☆411Updated 5 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆102Updated 5 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆26Updated 2 years ago
- ☆64Updated 2 years ago
- ☆41Updated 7 years ago
- Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchic…☆132Updated 3 years ago
- Transformer for Human Activity Recognition☆74Updated 2 years ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆134Updated 10 months ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆281Updated 7 years ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆183Updated 6 years ago
- 🏋️ Extract generalizable physiological representations from sensor time-series data with self-supervision (code for CHIL 2021, NeurIPS-W…☆19Updated last year
- ☆141Updated last month
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆39Updated 3 years ago
- Code for the paper: "TSViz: Demystification of Deep Learning Models for Time-Series Analysis"☆13Updated 6 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆348Updated 3 years ago
- Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments☆403Updated last year
- (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking☆20Updated last year
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Updated 8 years ago
- [Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models☆47Updated 3 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 years ago
- STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks☆48Updated 6 years ago
- Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Var…☆49Updated 2 years ago
- Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022☆13Updated 3 years ago