Issue with the paper: “BCI Based Home Automation using User Controlled Blinks”: missing Home Assistant & Muse Headband integration & transformation to a mobile physiological data acquisition system running on a Raspberry Pi

Last Updated on May 27, 2023 by pg@petergamma.org

https://www.researchgate.net/publication/338343705

We miss the option to control the whole house with Home Assistant, the Muse Headband and a blink of an eye.

  • How to connect the Muse Headband over LSL Python can be found here (for LattePanda with x86 processor only):
  • How to connect the Muse Headband over BrainFlow to Python can be found here:

https://brainflow.readthedocs.io/en/stable/SupportedBoards.html#muse-2

  • This works also with the ARM based Raspberry Pi.
  • The paper uses an OdroidXU4 SBC. But HA OS can be flashed directly to Raspberry PI SBCs:

  • Home Assistant OS on a Raspberry Pi offers more options than single automation tasks on an OdroidXU4 which were performed in the mentioned paper. We therefore think a Raspberry Pi is a better choice than the OdroidX4 and it is worth to publish a second paper about it.
  • We listed several sensor which already can be connected to Home Assistant. According to our own little experience as coders, we think it is possible to make out of Home Assistant a platform for physiological data acquisition. And we think, it is worth to write a third paper about it.
  • The authors of the papers belong to the minority of skilled coders worldwide who are skilled enough to implement the described features easily and write papers about it.
  • And we think it is worth to implement and publish the described features in scientific papers.
  • The authors of the paper did not publish the code. If you are interested in the device the authors developed contact those.
  • We are not interested in developers who develop these kind of devices for us and want to sell those to us..
  • We are not interested in engineers and paper authors who want to develop software and hardware products similar to g.tec medical devices or Adinstruments Labchart software.
  • But we are interested in open source soft- and hardware developers for instance at the level of Scott W. Harden:
    https://github.com/swharden
  • We make our contributions by the reviews we publish in our journal.
  • We believe that Home Assistant has the potential to be developed further to an open source physiological data acquisition system.
  • We suggest to change to another single board computer than Raspberry Pi as soon as possible since Pi has problems with availability since several years.