In conclusion, our design is valid for gathering real-time EEG and accelerator data from the Muse headband and preparing them for further manipulations. Specifically, for Zachary Bluestein’s experiment, it is promising that the sound loudness can be reflected by the recorded data. At the same time, with the inserted timer, it is also easy to find which sound data introduce which fluctuations in the headband’s data. Now with everything set up in MATLAB, one can probably use the basic same strategy to implement this design on a Raspberry Pi computer with the MATLAB Support Package for Raspberry Pi.

Experimental Design


This is a study designed to evaluate multi-modal perception and integration. Participants will complete the study while wearing an EEG headset. Data will be collected from the headset and from key entries made by the participant.


At the start of this study, participants will be given an introduction to the study and its methods. They will be in a soundproof room with a computer monitor. During the initial instruction period, a monotone sound will play at different intensities, each given a loudness label of 1-9, which the participant will be aware of as they play. After this, participants will hear those same sounds played back in a random order, without the labels, and will be asked to guess the loudness level of each sound by pressing a number on the keyboard.


Next, participants will be instructed on the visual component of this study. When the computer screen flashes from black to white, they will be told to press the left arrow key. When it does not flash, they will be told to press the right arrow key.


The rest of the study will proceed as follows:

  • A sound of random loudness will play.
  • At the same time which the sound is played, the screen may or may not flash
  • If it flashes, participants will have to press the left key. If the sound plays without a corresponding screen flash, the participants will press the right key.
  • The computer screen will then display a message asking the participant to rank the perceived loudness of the sound, which they will enter using the keyboard.
  • There will be a brief pause, and then the process will repeated again.