For my final project, I want to explore the power of computation to recognize biofeedback patterns and present them to the user in a recognizable way.

I’ve been working with an EEG headset called the MindWave, which is a single-channel wireless EEG sensor. The headset outputs EEG power band values such as Delta, Theta, Alpha, Beta, and Gamma waves. I’ve successfully been able to output these features to Wekinator, a machine learning application that allows for discrete classification of input features and outputs OSC messages. With this, I have been able to train the system to recognize colors that I am thinking.

What I would really like to do is map a person’s mental state such as emotions to a social feed of memories. For example, I could display several images from a person’s Facebook feed to train the system. Then, as the user lets their thoughts roam, the application would pull up other related images, videos, and posts as a way for the user to visually see what they’re thinking.

Some questions about this:

• Does seeing these memories allow you to maintain to these emotions?
• Can you control what you’re thinking?
• Can we build 3d environment to fully immerse yourself in your “thoughts and memories”?
• What if you can invite others to “experience” what you’re thinking?

Reference:

http://frontiernerds.com/brain-hack

http://www3.ntu.edu.sg/home/eosourina/Papers/RealtimeEEGEmoRecog.pdf