andreasKyratzis / PAMAP2-Physical-Activity-Monitoring-Data-Analysis-and-MLLinks
Data Analysis and Machine Learning on Physical monitoring data
☆15Updated 5 years ago
Alternatives and similar repositories for PAMAP2-Physical-Activity-Monitoring-Data-Analysis-and-ML
Users that are interested in PAMAP2-Physical-Activity-Monitoring-Data-Analysis-and-ML are comparing it to the libraries listed below
Sorting:
- Contrastive Learning (SimCLR) for Human Activity Recognition☆78Updated 4 years ago
- CAPTURE-24: Human activity recognition with activity trackers☆42Updated 8 months ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆310Updated 8 months ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆30Updated 4 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- Transformer for Human Activity Recognition☆74Updated 2 years ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆59Updated 4 months ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 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
- ☆9Updated 6 years ago
- ☆75Updated last year
- E4 data, EDA stress detection☆88Updated 6 years ago
- Baseline Machine Learning models for the Human Activity Recognition Trondheim (HARTH) dataset☆33Updated 6 months ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆69Updated 2 years ago
- Unified Pre-training for Motion Time Series☆36Updated 8 months 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
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆21Updated 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
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 4 years ago
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆18Updated 6 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆26Updated last year
- Code for RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data (ICLR 2025)☆14Updated 4 months ago
- ☆64Updated 2 years ago
- Supplementary codes for the K-EmoCon dataset☆28Updated 4 years ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆133Updated 9 months ago
- DeepConvLSTM implemented in python 3 and pytorch☆27Updated 3 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆26Updated 2 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆84Updated 4 years ago