This codebase deals with activity classifications. Cite papers accordingly.
https://datasets.simula.no/pmdata/
https://zenodo.org/record/4446174
https://github.com/ayan1c2/ActivityClassification/tree/main/MOX2-5_Analysis
An automatic and personalized recommendation modeling in activity eCoaching with deep learning and ontology https://www.nature.com/articles/s41598-023-37233-7 [Scientific Reports, Nature]
Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation https://www.nature.com/articles/s41598-022-24118-4 [Scientific Reports, Nature]
LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching https://ieeexplore.ieee.org/abstract/document/9941356 [WiMob]
Prediction Modeling in Activity eCoaching for Tailored Recommendation Generation: A Conceptualization https://ieeexplore.ieee.org/abstract/document/9856556 [MeMeA]
AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach https://link.springer.com/article/10.1186/s12911-023-02364-4 [BMC Medical Informatics and Decision Making]
Semantic Representation and Comparative Analysis of Physical Activity Sensor Observations using MOX2-5 Sensor in Real and Synthetic Datasets: A Proof-of-Concept-Study https://www.nature.com/articles/s41598-024-55183-6 [Scientific Reports, Nature]