Wonderland's Emotive Enchantment
We have been commissioned by the University of Kent to create a visualization project using EEG data collected while a group of audiences watched the film "Alice in Wonderland." Our concept involves dividing the 70-minute data into 5-minute intervals and calculating the median, average, and standard deviation values for each interval. We will then utilize these values to generate the visuals. This approach enables us to employ a unified simulation system to "grow" geometries based on the emotional range of the audience, while also eliminating possible noise from the raw data.
The summarized data presented above represents the collective information from all 38 participants. From top to bottom, we have the median, average, and standard deviation data.
Next, we split the data into 5-minute intervals, which are the values we have submitted to our simulation systems. Below are some raw data from individual participants:
As you can observe, the raw data can be quite erratic at times. Therefore, by utilizing the aforementioned process, we can extract stable yet meaningful datasets from the directly collected raw data.
We are intrigued by the idea of utilizing natural elements to depict the emotions inherent in the EEG data. Additionally, we aim to showcase the scientific process involved in data collection and processing. To achieve this, we have devised a design featuring a small "cube" as the fundamental element for each 5-minute interval. This cube possesses a sturdy and transparent frame, complemented by fragile skins. For the simulation system, we opted for Houdini, enabling us to incorporate soft body extensions and intricate details.
By assembling all 14 “cubes” together, we get the complete data sculpture:
