Biography
Biography
Biography
PROJECTS
DIAA AHMEDIEN
Jan 2015 - Jun 2017
NEURAL GAME
A screenshot of the recorded analysis. It shows the correlation between the brain signals' bandwidth and the clear constructions of the holographic image.
SDGs
A neural system to reconstruct a holographic puzzle.
-
Lab: Holographic Lab, School of the Arts, University of Applied Sciences, Bern.
-
Software: Emotive-EPOC LABVIEW, custom-made controlling interface.
-
Programming languages: Python.
-
Hardware: Nd:YAG laser (532 nm, green bandwidth), EEG cab system, and holographic reconstruction system.
-
Keywords: neural signals, brain waves, holography, game.
-
Documentation:
>> LEONARDO.
>> Integration and implementation insights.
>> Evidence-based practical result.
I developed an interactive game using a holographic scene, where participants had to interact physically with their neural activities to complete the required processes and tasks. First, participants were attached to EEG (electroencephalography) monitoring. Then, when standing at a table with a set of holographic plates laid out upon it, they had to puzzle out a hologram of a toy. How the holographic plates were illuminated, and hence the possibility of seeing the holographic puzzle, depended on the participant's brain responses.
Therefore, this project functionally embedded the physical properties of holographic reconstruction processes into a system controlled by participants' brain neural responses. To expand the functional role of neural brain functions in interactive artistic processes. The effect of the functional expansion of the participant's neural reactions is revealed in this experiment and the feasibility of quantitatively assessing interactive processes in an operational interpretation of the neural dimension in interactive arts.
The primary examination result illustrates how the participant’s neural brain signals can be converted into a particular light color to be used for reconstructing the holographic image. Sample A & B: Neural brain signals in the alpha and beta categories were converted into the two light packages that produced wavelengths outside the green bandwidth (λ ≤ 640 nm and ≥ 640 nm, respectively), which they cannot use to reconstruct a holographic image. In contrast, sample C in the gamma category produced neural brain signals that can be converted into λ532 nm inside the green bandwidth, and therefore the holographic image has been reconstructed appropriately.