| dc.description.abstract | People tend to follow specific patterns in their daily lives. In a smart house context, this can be useful information to determine normal and abnormal behavior of smart house inhabitants. By using patterns based on the daily activities of a person living in a smart house, a system can be developed to alert family or caregivers of abnormal behavior.
The goal of this project has been to develop an activity simulator which gives a graphical representation of a person living in a smart house. The graphical representation is based on a set of sensor and activity data stored in a database. The system was developed using software development methods to analyze, design, implement and test the system. The resulting system is able to read an activity dataset, where each activity has a start time and an end time and animate the movement of the person depending on the activity being performed at that time. The system also supports insertion of new activities while the simulation is running as well as replaying previous performed activities. An import and export module were added to import new datasets to the database and export simulation data to a file. | nb_NO |
