Projekte sind ein essenzieller Bestandteil des Curriculums von Mobile Computing. Die Studierenden bekommen die Möglichkeit, das im Zuge ihres Studiums erworbene theoretische Wissen selbst praktisch umzusetzen. Ein sowohl für StudentInnen als auch für Lehrende immer wieder spannendes Unterrichtskonzept, in dem schon erfolgreiche Startups wie z.B. runtastic und Butleroy ihre Anfänge gefunden haben.
Emotion Recognition on Mobile Devices based on User Interactions
The goal is to find unobtrusive ways to detect users emotion on a smartphone. Therefore it is not a good way to ask the user to select his current emotion on the screen. Use the system integrated sensors and possibly additional sensors to recognise the emotion of the user.
Human-computer interaction is nearly in everybody's daily life presence. Previously there was keyboard and mouse to enable the interaction between human and computers. Actually humans use gestures and voice to control their devices. But there is one necessary and very important ingredient for natural interaction missing - it is emotion. Emotion recognition is the main topic in human–computer interaction.
The main goal of this thesis is to find an algorithm or a combination of algorithms, which are stable and work unobtrusively. The system where the algorithm is running is a smartphone, for this reason an other important issue is the resource-efficiency. To determine the emotion without his knowledge, to prevent side effects, the whole implementation should be able to run in the background of an application. At the end of this thesis there should be a framework which provides an easy way to use this implementation.