Category: Lucid Scribe Plugins


Lucid Dream Art

Followers and readers of my blog may well remember my previous optical mouse hack for REM eye movement detection and lucid dreaming back in August 2014. That project known as DreamCaptcha relied on a direct USB connection to a nearby computer. Hopefully after having a bit more time I can now move on from that limitation by experimenting with a wireless mouse set-up instead.

modified wireless mouse dream mask Optical wireless mouse prototype

The layout and construction is very similar to the earlier USB mouse hack. In fact I kept the milk carton shell and the elastic as before. Even the white tack to temporarily hold the base in is taken from that project era. However there were obvious benefits and certain obstacles to overcome during the whole modification process, most of which included the weight and power considerations, amongst others.

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I have been getting better results with a different night-vision camera with built-in infrared lights and zoom:


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Finally have the standalone version ready for some test runs on my beautiful wife!

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Halovision 1.0.4

Weeded out some more false negatives – if there is a large movement, it waits 10 seconds before counting eye movements again.

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Halovision 1.0.3

Tweaked the algorithm to weed out some more false negatives.

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Halovision 1.0.2

Improved the algorithm… it was missing REM episodes where the eye movements stopped for more than 5 seconds before the stairway to heaven was reached.
Episodes like in the following minute, where there is a 10 second break in eye movements around the 30 second mark, will now keep counting and trigger the audio tracks:

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Halovision 1.0.1

Ensured that the video feed is always top-most.

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Halovision 1.0.0

Added an option for halovision devices where the headband used to be listed and the webcams / built-in cameras are listed.

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Halovision 0.9.9

Made the stairway to heaven shorter again, the REM detection should be almost perfect now.

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Halovision 0.9.8

Made the stairway longer to climb, but faster. This makes it more likely to trigger on rapid eye movements and less likely to trigger when settling down for the night. And added an extra filter to discard small movements that are within a second of large movements, as the ignore filter was sometimes being bypassed by small movements in the wake of large movements.

EOF REM Detection Algorithm

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