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About GATE

GATE final publication 2012
Results from the GATE research project
a 75 page overview (pfd 4.7 Mb)

GATE Magazine 2010
a 36-page overview of the GATE project (pdf 5.3 Mb

Research themes:
Theme 1: Modeling the virtual World
Theme 2: Virtual characters
Theme 3: Interacting with the world
Theme 4: Learning with simulated worlds

Pilot Education Story Box
Pilot Education Carkit
Pilot Safety Crisis management
Pilot Healthcare Scottie
Pilot Healthcare Wiihabilitainment

Knowledge Transfer Projects:
Sound Design 
Motion Controller
Mobile Learning
Glengarry Glen Ross
Enriching Geo-Specific Terrain
Pedestrian and Vehicle Traffic Interactions
Semantic Building Blocks for Declarative Virtual World Creation 
Computer Animation for Social Signals and Interactive Behaviors


Center for Advanced Gaming and Simulation
Department of Information and Computing Sciences
Utrecht University
P.O. Box 80089
3508 TB Utrecht
The Netherlands
Tel +31 30 2537088


 ICTRegie is a compact, independent organisation consisting of a Supervisory Board, an Advisory Council, a director and a bureau. The Minister of Economic Affairs, and the Minister of Education, Culture and Science bear the political responsibility for ICTRegie. The organisation is supported by the Netherlands Organisation for Scientific Research (NWO) and SenterNovem.

EEG Indicators of Stress: EIS
Knowledge Transfer Project

EEG Indicators of Stress

This knowledge transfer project (KTP) is about using brain signals (i.e. EEG) as indices for stress. Many gaming applications can benefit from online stress measurement. For instance in applications that use gaming/VR technology to treat people for stress related complaints or to make them more resilient. The use of EEG based indicators can complement the use of other subjective and physiological measures such as questionnaires, skin conductance and heart rate variability. TNO develops knowledge on the use of EEG in games in the linked GATE work package; Noldus is interested in measuring human behavior offline as well as online (in the near future). In this KTP, we will work together on using EEG-based indices for stress (location of the electrodes), processing EEG signals to distill stress indices (both the theoretical basis for the indices as the required classification algorithms to calculate these fast and reliable), and validating the indices with physiological and subjective measures.

Project Participants

Dr. J.B.F. van Erp, TNO