ntnu-ai-lab / harth-ml-experiments
Baseline Machine Learning models for the Human Activity Recognition Trondheim (HARTH) dataset
☆28Updated 2 months ago
Alternatives and similar repositories for harth-ml-experiments:
Users that are interested in harth-ml-experiments are comparing it to the libraries listed below
- CAPTURE-24: Human activity recognition with activity trackers☆30Updated 3 months ago
- 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
- Multimodal human activity recognition using wrist-worn wearable sensors.☆46Updated 4 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆26Updated 3 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆75Updated 3 years ago
- Transformer for Human Activity Recognition☆70Updated 2 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆40Updated 3 years ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆121Updated 4 months ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- Data Analysis and Machine Learning on Physical monitoring data☆15Updated 5 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 3 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆57Updated 3 months ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated 2 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆23Updated last year
- Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022☆13Updated 2 years ago
- ☆11Updated 2 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆100Updated 5 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- Self-supervised ECG Representation Learning - ICASSP 2020 and IEEE T-AFFC☆40Updated 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
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆25Updated 2 years ago
- This project aims to detect stress state based on Electrocardiogram signals (WESAD Dataset) analysis with a deep learning model.☆45Updated 2 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
- The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sens…☆19Updated 4 years ago
- Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition☆11Updated 2 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆90Updated 4 months ago