[old] Announcement: new Masterthesis

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Image: http://www.roadtovr.com/wp-content/uploads/2015/07/leap-motion-vr-mount-oculus-rift-dk2.jpg

Masterthesis: Monitoring objects on a 2D plane vs. in 3D virtual reality

  • Task: implement a technical system for EEG data recordings with multimodal user input in VR (combining a Leap motion controller with an Oculus Rift DK2 VR Headset). Further implement existing data collection infrastructure and run a small EEG pilot experiment with 2-4 subjects.
  • Support: potential candidates will be assisted with technical support concerning the systems to be used. Furthermore, strong support concerning EEG data collection and implementation requirements for EEG data analyses will be provided. No substantial knowledge concerning neurophysiological methods is required. An interest in cognitive neuroscience would be beneficial, but is no requirement.

Key competences helpful for a succesful completion of the thesis project:

  • background in programming with knowledge of python or similar scripting languages
  • first experience or strong interest in multimodal input systems: this work is going to feature a Leap Motion controller (https://www.leapmotion.com/product/vr) together with head mounted virtual reality (Oculus Rift DK2 Headset). Additionally, the user movements will be tracked and stored with a motion capture system (http://www.phasespace.com/).
  • interest in addressing/quantifying interaction problems with the implemented system (input lag, general dizziness, motion sickness).
  • interest in behavioral/neurophysiological data analysis: one of the main goals is to analyze motion profiles of the subjects arms and hands as well as upper body in combination with simultaneous EEG measurements. Furthermore, task engagement as well as subjects comfort level may be measured through different questionnaires.
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