Ausstattung

B7 pic17 neu

hapticremotecontrol

Kaiser SR80 ProView

Quadrotor Model

Virtual Tuebingen

tobii

Virtools

Unity

   

Biosignal-Aufnahmen & Stimulation

Galvanic Vestibular Stimulation (GVS)

GVS is used to stimulate the human vestibular system by injecting small currents behind the ears of a person. Produced by Good Vibrations (Toronto, Canada) it consists of a small box designed to be fastened to a person?s body with 4 leads protruding outward used to attach behind the ears. The newly acquired GVS system will be used in conjunction with the MPI Stewart Platform and the MPS Cyber Motion Simulator to investigate self motion perception with the potential of virtually expanding the usable workspace of these devices. The GVS system will also be used with the tracking hall and the omnidirectional treadmill to enhance redirected walking techniques and to induce out-of-body experiences in virtual environments

 

 

Biosignal Recording & Brain Computer Interface

Biosignal (EEG, EOG, ECG, EMG) acquisition allows investigation of brain-, heart- and muscle-activity, eye movements, respiration, galvanic skin response and many other physiological and physical parameters.  Produced by g.tec medical engineering (Schiedlberg, Austria) it consists of a 16-channel biosignal amplifier (up to 256 channels supported) as well as a portable 8 channel amplifier which enables data acquisition during free movement. The newly acquired g-tec system has been used in conjunction with the MPI Stewart Platform and will in future be used with the MPS Cyber Motion Simulator to investigate biosignal responses to self-motion. High-speed online processing of the g-tec system under MATLAB SIMULINK enables brain computer interfacing. At present the system is capable of controlling cursor movement on a display screen in real-time after training the computer on subject specific activation patterns. Plans to extend this to interfacing the g-tec system with the control computer of the MPI Cyber Motion Simulator will potentially enable the user to control self-motion by monitoring differential activation of the sensorimotor cortex using a motor imagery paradigm.

 
Last updated: Dienstag, 23.04.2013