Face Seismograph

Screen Shot 2013-12-05 at 12.21.44 PM
Soliciting participants on Facebook – my original scheme for the final project
Screen Shot 2013-12-05 at 12.43.57 PM
I planned to print screenshots out and frame them like so

As is often the case in art, my project to capture the things that make us smile turned out to have been implemented a year before by Brooklyn artist Kyle McDonald. The embarrassing part of this is that I – unknowingly – used Kyle’s library to make my project.

In any case, this initial attempt/failure emboldened me to try something more nuanced with faces. I wanted to consider a continuum of expressions as opposed to a binary smile-on smile-off.

Face Seismograph 

Screen Shot 2013-12-05 at 8.50.50 AM

Screen Shot 2013-12-05 at 8.51.20 AM

Face Seismograph is a tool for recording and graphing states of excitement over time. It was written in OpenFrameworks using Kyle McDonald’s ofxFaceTracker addon.

excitement1
Excited?
So excited
Excited!

The seismograph measures excitement by tracking the degree to which one smiles or moves their eyebrows from a resting state.

One limitation of this approach is that in practice, internal states of excitement or arousal may not have corresponding facial expressions.

So excited
Genuinely excited
Doesn't get it
Depressed

I staged a casual conversation between myself and a friend. While we chatted about life, two instances of Face Seismograph approximated and recorded the intensity of our excitement. Viewing the history of our facial expressions, I began to notice surprising rhythms of expression.

Screen Shot 2013-12-05 at 12.32.42 PM Screen Shot 2013-12-05 at 12.32.53 PM Screen Shot 2013-12-05 at 12.33.00 PM Screen Shot 2013-12-05 at 12.33.45 PM Screen Shot 2013-12-05 at 12.34.23 PM

To present this conversation, I play each recording on a separate iMac. The two recordings are synchronized via OSC. A viewer can scrub through the video on both computers simultaneously.

In a future iteration of this project, I’d like to highlight the comparison of excitement signatures with greater clarity. Also, I need to label my axes.

 

Author: miles

Follow me on Twitter: https://twitter.com/mlsptn My YouTube channel: https://www.youtube.com/user/MilesPeyton Find me on OpenProcessing: http://www.openprocessing.org/user/12793


Warning: count(): Parameter must be an array or an object that implements Countable in /nfs/c05/h03/mnt/77459/domains/cmuems.com/html/2013/wp-includes/class-wp-comment-query.php on line 405

One thought on “Face Seismograph”

  1. Would be really cool if you could include a sound component

    like the name – face seismograph

    maybe interesting to measure other bio data in real time and map at the same time –

    it’s very difficult to follow both seismographs at once in sync—can’t focus your eye in both places. did you consider overlaying them? would also work well if you color coded faces to match

    if you’re trying to look at expressions during conversations, I think the design for that should be different from the design for one that you watch at the top of your computer screen—as a mirror

    there’s a tension between the nature of this project as an installation, and as a visualization.
    As an installation, it wants to be minimalistic. As a visualization, it wants to better support comparisons — and have things like labeled axes, tick marks, multiple parallel timelines.

    I recommend having the sound from the conversation, perhaps filtered so you can’t quite make out the words.

    data looks like landscape, could be used for making things, more interaction, dynamically created world

    “different patterns” it would be cool if the patterns can be exported into pdf, etc(I mean the waves that appear on the top)

    aside from a vague sense of interest, this doesn’t make me *feel* anything or provoke a lot of thought

    I would like to see this combined with your earlier app that hears words and displays them on the screen. maybe show which words appeared when the people were most interested or least interested. Maybe you could find a pattern like, if someone says “I” too much, the other person becomes less interested.

Comments are closed.