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The recognition of Activities of Daily Living (ADL) has represented one of the most developed research areas in recent years. Its objective is to determine what daily activity is developed by the inhabitants of a smart environment. In this project, an ontology-based framework for the mining of ADL with a generic ontology and a modular architecture is proposed. The framework includes applications to: i) load multiple datasets available in literature, ii) to provide different methods for the segmentation of the activities, and iii) to transform the datasets into different ontological models.
Features
- Import Activities of Daily Living datasets from well-known repositories
- Convert Activities of Daily Living datasets to different ontological models
- Segment Activities of Daily Living sensor events streams.
Categories
Machine LearningLicense
GNU General Public License version 3.0 (GPLv3)Follow ADL mining framework
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