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- Graph-based Recommender System Using Deep Learning and Word embeddings
Recommendation systems, in general, aim to reduce this burden of information overload by suggesting items of interest to a user. They imitate the human way of thinking by choosing as other like-minded people have chosen before when a decisive rst-hand knowledge is... Open Theses
Tutor: Alkhatib - Implementation of a GeoServer for Maneuver Coordination in OMNeT++
MotivationCommunication between vehicles (V2V), vehicles and infrastructure (V2I) or vehicles and “others” (V2X) can significantly increase the performance of already deployed driver assistant systems. This can be achieved by extending the environment perception of local... Open Theses
Tutor: Daniel Bischoff - Analysis of Machine Learning Approaches for Motion Recognition in Virtual Reality
In Virtual Reality (VR), we can recognize full-body movements to create personalized and adaptive serious games. Moreover, with motion recognition, it is possible to monitor or to train the user while performing a certain exercise. Therefore, using different machine learning... Open Theses
Tutor: Caserman - Development of a Leap-Motion based Rehabilitation Scenario for Patients with Parksinson's Disease
The goal of this Bachelor/Master thesis is to develop an already designed exergaming scenario using the Leap Motion sensor and Kha (kha.tech). The tasks of the student include game development, raw data collection and game parameter acquisition. The theses can be written in ... Open Theses
Tutor: Augusto Garcia-Agundez
