Meeting 02 Notes
1. Code: agent behavior, channelling conversations, history weights,
2. double LED grid, test surface behavior with image masks
3. Test Rendering component (improve “virtual prototyping” capabilties and output for motion design piece)
4. Arduino Linking (adjust microphone sensitivity, LED dimming on a grid, KIT light test, etc)
5. Material Samples
Meeting 01 Notes
Links That Need to Be Sorted
I found this pod cast to be of interest:
http://www.poptech.com/popcasts/popcasts.aspx?lang=&viewcastid=34
conversation as model for social network…
(wok, I know you’ve seen this already…)
http://www.kokkugia.com/wiki/index.php5?title=RhinoScript_importing_custom_file_formats
http://web.mit.edu/lira/www/projects/convtable.htm
http://www.youtube.com/watch?v=TG66tyefuiw
http://www.youtube.com/watch?v=jEGwsfpHevU
This example shows the basic principle behind using sound-processing-arduino-leds:
http://melka.one.free.fr/blog/?p=131
Here are some samples for how we might be able to approach the LED driver script:
EXAMPLE 1
http://tinkerlog.com/2007/10/22/diy-tengu-on-a-breadboard/
http://www.tengutengutengu.com/
The Tengu app sends pre-programmed characters/bitmaps to an led matrix according to sound input.
we could use up to 6 sound sensors to read the volume at a specific point at the table. I would send the volume readouts to the processing script to generate dynamic characters instead of preprogrammed bitmaps.
2 possible amplifier circuits for a single sensor:
http://www.reconnsworld.com/forum/read.php?9,10
http://tinkerlog.com/2007/05/20/cheap-sound-sensor-for-avr/
EXAMPLE 2
Pong app
http://www.arduino.cc/cgi-bin/yabb2/YaBB.pl?num=1148260794
Light balls would be created according to the number of guests. Light balls would always flow to less active areas and disappear if not bounced back by increasing the volume quickly enough. A person that continuous to be the loudest would force its “light ball” to reduce in size.
(I also have another source on ” interfacing with processing”)
EXAMPLE 3
Network app
this is based on a different principle but still quite cool:
http://www.youtube.com/watch?v=YBXPavI3Aec
EXAMPLE 4
Shockwave app
http://www.youtube.com/watch?v=-dMIAjsOAn4
To illuminate the table we could use capacitve sensors
> http://www.newlaunches.com/archives/sensacells_floor_displays_led_footprints.php
this would give us the ability to identify how many hand/people are present
some other samples that show how impactful a 3d illumination would be:
http://www.youtube.com/watch?v=Uq1lkrtAJ_0&feature=related
Urban illumination as a potential application?
http://www.physorg.com/news143438150.html