Smart Data Lab
What is the Smart Data Lab (SDL)?
The Smart Data Lab is a laboratory in the WA 67 that is primarily concerned with collecting data. A Smart Data Lab project aims to provide students with initial experience with systematic data collection. A research hypothesis is formulated, an experimental design is developed, the experimental setup is implemented and the data is finally collected. The aim is to collect data that can be used for artificial intelligence processes, i.e. automatically evaluated.
What sensors does the SDL have?
- Shimmer Nodes: a collection of sensors that can be used to measure human behavior and biophysics. This includes stress, movement, heartbeat, etc.
- Tobii Pro Glasses 2: a pair of glasses that use a camera in the line of vision and six eye cameras to record the movement of the human eye. This makes it possible to see where the test person was looking at.
- HTC Vive: virtual reality glasses that allow you to move in a 3D world.
- Microsoft Kinect: The Kinect, which appeared at the time as an input device for the Xbox 360, can also be used by the depth sensor to record the movement of a person in space.
- Smart Chairs: Office chairs that can measure a person's weight distribution via a pressure point matrix and allow conclusions to be drawn about seat movements.
- 55" touch display: a display that can act both as an input device and as a simulator for a test environment. With a folding stand, this display can also be used as an interactive table.
What are the current topics?
The selection of the research topic is discussed individually with the project group. Ideas, whether detailed or rough, can and should be introduced. But we are also happy to help you to find an idea.
What does an SDL project look like?
Once a topic has been found, an experimental design is first developed. Then the scripts for the hardware and a pilot for the experiment are programmed. If everything goes smoothly, the experiment can be carried out with a test group. The project concludes with a project report, which is then published together with the data. In the course of the project, there will be 3 short presentations in which the concept, the test pilot and the project report will be presented. Besides, regular meetings should provide input and ensure the successful progress of the project.
Who is the SDL for?
The SDL is primarily aimed at computer science students who are interested in machine learning, but other fields of study are also welcome. Details of crediting must be discussed in advance.
What are the general requirements?
The projects should be carried out in small groups (in exceptional cases alone). The projects are planned as 6 CP projects. We are also happy to offer a follow-up project in which the data can be evaluated with the help of artificial intelligence.