Motion Research Progress Report: 2010-04-20

So now I'm looking at the very beginning: trying to save the accelerometer data into a buffer. After that I will find a way to write data in the three buffer windows.

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Just came out of my meeting with Thecla. Some interesting stuff. In previous conversations, she started talking about the philosophical grounds for detecting/describing/classifying movement through acceleration data. In this meeting, she mentioned that the ends of a movement/gesture are crystallizations of an ever-fluid stream of phenomena. I'm also wondering whether the act of observation/classification also crystallizes movement.

Just to be more concrete in terms of my IAT 888 paper/project, I can note in my paper that all Laban Effort detection systems have made use of affinities, and I will be no different.

In my paper, I'm not sure if I can unpack the following idea any more but: using acceleration as the foundation for qualifying movement is... I can't exactly articulate it right now but it allows you to look at movement as a data stream of meaning that is somewhat independent from properties the physical substrate upon which the movement is embedded. This is also closer to what Lyn Bartram might be aiming for as well.

I should really talk to Mary and ask her: why acceleration data instead of computer vision-based methods?

I really need to read Philip Agre and his paper on computation and the human experience. Also, for my thesis work particularly, read Thecla's chapter 8.

Last week in my metacreation class, I finished my presentation of some themes from Alan Dorin's work, and I mentioned the idea of creating a machine that creates kinetic art. I wonder if anyone will take me up on it... or if I can find to think about this more!

Labels: metacreation, motion research