BCI Autonomous Vjing system based in physiological feedback

The Autonomous Vjing system based on Physiological Feedback, uses brain (EEG) signals to control several parameters in a video stream. The project proposes a method for real-time implicit interaction with visual content and the possibility of mirroring the physiological state of a user through a video display.

In broad terms, the installation works by: i.acquiring data from the user to the computer using the Emotiv electro-physiology sensor system for recording of EEG; ii. softening and processing the obtained signal via a patch in Pure Data and different transformations; and iii. mapping the processed signal into control parameters that will affect a video stream using the Video Server and OSC communication protocol.

When I thought of producing the autonomous vjing system I wanted not only to innovate in the field of audiovisual representation but also in putting together a self awareness system. In the end of the day, the idea is to create a system that mirrors your meditation, concentration and excitation levels into an audio-video stream. In this way, the user can gain awareness and control over his mental states. If you are highly excited the frame rate increases so much that you can barely see the visuals…you need to calm down! Meditation is mapped to the hue levels and concentration controls the alpha channel. Wanna see a beautiful picture with saturated colours? Focus on something and you will bring opacity to the colours…

Team Members: Lucas L. Lopez SerranoMara BalestriniLuis Bobo, Kiira Hjert Bernardi

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About Mara Balestrini

Mara Balestrini is Human Computer Interaction (HCI) expert and technology strategist.

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