MOBI-BOX Project

At UC San Diego, as part of a team for our senior design bioengineering project, we developed MOBI-BOX: A Next Generation Mobile Brain-Body Imaging Platform. This project was published at the CogSIMA IEEE conference in 2016

Background on MOBI-BOX

Human cognition has been studied from many perspectives, ranging from minute physiological changes in neural tissue to patterns of observable behavior in meaningful contexts. In recent years, a family of highly innovative imaging techniques has emerged to simultaneously record and synchronize individuals’ real-time brain activity with their three-dimensional body and eye movements. MoBI-Box offers a portable, customizable, and inexpensive method of measuring biosignals.

Our research can have far-reaching benefits in pedagogy as well as neuroscience. People with learning disabilities as well as the elderly can be taught better and potentially learn faster. In the realm of neuroscience, neuroscientists as well as psychologists in labs worldwide would benefit from this research, as some are constantly seeking more information in understanding brain dynamics in order to improve BCI systems.

We seek to find a correlation between visualization and memory using EEG analysis. If this correlation can be found, we would no longer need to use ECoG to receive the data. Also, future experiments using EEG instead of ECoG would be cheaper because it reduces the cost of running the experiment by removing the need for surgery. By accelerating the process of getting relevant data for visualization end users will benefit by a decrease in cost and time via EEG.

Project Objective

• Develop MoBI-box in order to measure and synchronize EEG, eye tracking, and touch screen data

• Use MoBI-box to study how visualization impacts learning

• Compare recall performances using control and experimental imagination blocks

• Compare strength of visualization (using the line test) of the test subject with recall performance

• Show that our design gets meaningful data at a cheaper cost and is easier to use

Poster Presented at CogSIMA 2016, IEEE Conference in Neuroscience