Context Recognition Seminar


Tutor: Marcus Handte 

Nowadays, most devices are equipped with different types of networking technology and a broad spectrum of sensors. Examples include gyroscopes, accelerometers, cameras, and microphones. To provide better task support, future applications will have to use the sensors of multiple devices to determine the state of their environment in an automated fashion. This requires novel software systems and signal processing algorithms to derive high-level context information from low-level sensor readings.

The seminar topics will cover a selection of systems and algorithms to recognize different types of context. Furthermore, they cover supportive architectures and protocols to recognize context in a distributed manner. Thereby, the seminar focuses on light-weight approaches that can be implemented on resource-poor devices. Participants will be able to select their topic of choice from the set of available topics.

Participants will have to do a literature research and they will have to create a high quality written report. Furthermore, they will have to give an oral presentation of their topic.

This seminar is suitable for students at the bachelor and master/diploma level. However, Master AI-SE students cannot chose it. Furthermore, depending on the number and type of participants, this seminar might be given in English and German. Please also note that the maximum number of participants is limited. If you have questions regarding this seminar, please contact marcus.handte@uni-due.de.

LSF entry: Seminar

The kickoff meeting for this seminar will take place on Thursday, 22.10.2015 between 8.30h and 10.00h in S-A 126. Participation in this meeting is mandatory.