Party Splitter is live

Per the Oatmeal:

Solve the problem of splitting your check after a meal...  download 'Party Splitter'

Check-Splitter app under way

Under development: Check-Spliter.  A small app that will divide the check evenly or specifically.
Though there are many apps like it, this one will allow you to easily distribute individual items as well as shared items.  More to come, stay tuned.

 

Hurricane data

Since that tropical storm passed through, Carson and I wrote a small Processing script that would record Tweets with the keywords of 'Hurricane' 'Storm' and 'Irene' with the intention to visualize the data somehow [to be done very soon].

Here are some observations from a cursory sweep of the data:
* People tend to retweet comical tweets
"RT @dgugnani: hurricane Irene is like #christmas- family & friends calling you, stores closed & at some point you may have a tree in your house!"

* Spike Lee tweets are especially popular for retweeting
RT @SpikeLee: On this Anniversary of Hurricane Katrina let's all pause and send Blessings and Prayers to those that lost their lives.GOD BLESS.AMEN.

* After the main storm had passed, people were a bit aggravated over the media hype

StillSpotting exploration

A sketch I made using processing to visualize brain data and sound.
The outter blue ring is the sound wave, the inner blurs are the different recordings of brain data. The colors only appear when the brain data is at least one standard deviation from the average. The size, intensity, and location are determined through calculations concerning the abberation of the data and the sound levels at the coresponding time.

The brain and the image

Method:

By giving some of my peers a short test involving the exposure to a series of randomly ordered images, I recorded some brain activity [presumably some from the actual perception of the image .. and some from ?] and then overlayed all of the readings for a particular image into a visualization.

Findings:

The tool [neurosky] definitely had its issues in providing steady data.  With this small sample of subjects, a correlation between any sort of brain activity and an image could not be determined.

However, the visualizations show that the data varied from image to image.  The visualization was made in processing using some simple commands to vary the placement of a Koch curve over time.  The interesting outcome from all of this was the large variation in the visuals resulting from different sets of data going through the same algorithm.

*note: definitely not a controlled scientific experiment as much an visual generator.

Simple code. Interesting pattern.

line(.5 * radius * cos(frameCount * .0001) + (frameCount * .01)%width,
.5 * radius * sin(frameCount * .001) + sin(frameCount * .04) + height/2,
-.5 * radius * cos(frameCount * .0001) + (frameCount * .01)%width,
-.5 * radius * sin(frameCount * .001) + sin(frameCount * .04) + height/2);

Central Park 2011_01_26 It snowed.

Map my brain.

Using the EEG sensor I recorded a few minutes of my brain activity.  

Supposedly the bottom values [blue and red lines] correspond to the degree of meditation and attention I happened to be in at the time. 

What will I do with this information?  We'l find out.

Made with Processing.

Today I went to the dark side.

It has been a while...

Ooops.  I got lazy.
Well... there will be interesting things to blog about, such as:
*What I did in the month of November.
*Christmas.
*Winter break with people.
*More GSAPP stuff - the entire 2nd half of Fall semester and the start of Spring.
*Etc.
This image of Yosemite will have to stand in until I finish my AAD portfolio draft and have some time to add more actual content to this thing.
Yosemite.  December 30, 2010.