Spatio temporal media components for neurofeedback

Camilla Birgitte Falk Jensen, Michael Kai Petersen, Jakob Eg Larsen, Arkadiusz Stopczynski, Carsten Stahlhut, Marieta Georgieva Ivanova, Tobias Andersen, Lars Kai Hansen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


A class of Brain Computer Interfaces (BCI) involves interfaces for neurofeedback training, where a user can learn to self-regulate brain activity based on real-time feedback. These particular interfaces are constructed from audio-visual components and temporal settings, which appear to have a strong influence on the ability to control brain activity. Therefore, identifying the different interface components and exploring their individual effects might be key for constructing new interfaces that support more efficient neurofeedback training. We discuss experiments involving two different designs of neurofeedback interfaces and suggest further research to clarify the influence of different audiovisual components and temporal settings on neurofeedback effect.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
Number of pages6
Publication date2013
Publication statusPublished - 2013
Event2013 IEEE International Conference on Multimedia and Expo (ICME) - San Jose, CA, United States
Duration: 15 Jul 201319 Jul 2013


Conference2013 IEEE International Conference on Multimedia and Expo (ICME)
Country/TerritoryUnited States
CitySan Jose, CA
Internet address


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