The project shown below explains in detail the development of a new version of
the Ewe Tasker smartphone application, developed in Android, which allows the
automation of tasks through the Ewe Tasker web server. This server belongs to the
GSI group of the Higher Technical School of Telecommunications Engineering.
Activity Recognition is the main application of this new version of the app and its
function is to recognize, store, analyze and process user activity information in real
time in order to monitor his activity, offer user an environment that shows statistics
about his activity and generate activity events in such a way that they can be used
to automate tasks from Ewe Tasker server through the app.
In addition, it includes a second application, integrated from old versions of the
app, which offers an intelligent environment that allows users to execute automation tasks previously created on the Ewe Tasker server. This application includes
the generation of motion detection events through beacons, implements the sending of generated activity events and allows interaction with different actuators in an
intelligent environment, offering multiple possibilities when automating tasks.
As a result, this project provides user an app to have access to information about
their activity at all times and allows to execute custom automation rules according
to their needs, both in an intelligent environment and in another context.