This project is a part of the course D0020E at Luleå University of Technology.
The purpose of the project is to provide a configurable system for setting up rules for activity recognition in the Human Health and Activity Laboratory (H2Al) at LTU. H2Al is like a smart home containing multiple different sensors and tools, and it is used for e.g. studying human behaviour. The lab is currently lacking a system that easily connects different types of sensors and this project aims to meet that need.
Refer to the GitHub Page for installation and how to run the application, as well as instructions on how to add new input or output.