Some visuals we did for a fundraiser in Newcastle at Head of Steam
I always pay attention to who follows me on twitter as sometimes they aren’t just the usual spambots and actually have rather interesting projects on the go. This one in particular is really nice…looks like it may be time to brush the dust off my linux box.
Something I made in 30 minutes or so…it was going to be a chillout song then I kind of went crazy and couldnt be bothered with filters or anything so…
Maybe I’ll do a visual in 30 mins for it too.
We’ve always said ourselves that two of the most annoying issues were projection mapping easily and working with sequences of movies. After Kantan was released in the summer it’s good to see another tool to try out. So for those who rarely check the facebook page or forums…heres the link.
Sometimes very little is needed to make an interesting data viz. This is purely an operator viewer of a tiled CHOP containing the rgb values of a 100x100 pixel image.
I spotted a profile picture in a retweet that caught my eye recently and then had to take a look at the work of the user in question, some really awesome digitally rendered papercraft…I then had to leave and later couldn’t find the profile I’d been on….So I was rather surprised today when the user in question, Jeremy Kool (@Jeremy11k) started following me on twitter.

Turns out he’s creating a childrens picture book for tablets which you can check out and support here:
http://www.pozible.com.au/index.php/archive/index/2259/description/0/0
I’ve been working on two projects recently that required gestures with kinect and built a simple component which takes OSC data from OSCeleton and then uses it for gestures. Figured whilst I was rendering I’d release it to you guys since its just been sitting in my palette doing nothing. I’ll probably upload a vimeo video showing some examples but theres other things to sort out first.
This requires OSCeleton which can be downloaded here: https://github.com/Sensebloom/OSCeleton
It basically takes your hands and maps where they are in comparison to your torso.
I’ve also extended differences for hands to allow for things like moulding 3D objects and using sliders.
So as for channels you have:
r[xyz] - Right hand x y and z value away from torso
l[xyz] - Left hand x y and z value away from torso
[xyz]_hand_diff - Difference between hands in x y and z
It’s listening on port 7110 which OSCeleton should use by default.
This is for OpenNI drivers, not the official Microsoft SDK.






