Posts Tagged ‘wiigee’
Thesis prototypes video
Sunday, November 1st, 2009
I made a short documentation about my prototypes for my thesis. Enjoy!
Performance Based Musicmaking prototypes from Wout Standaert on Vimeo.
Tags: Ableton Live, gestures, java, OSCulator, Pure Data, Research, Waveshaping, wiigee, wiimote
Posted in Thesis | 3 Comments »
Wiigee – cont’d
Wednesday, May 13th, 2009
Hooked up four wiimotes to a java application today and they all have their own set of gestures and actions. Now I just have to set the “learn gesture” and “detect gesture” buttons to only one of the four wiimotes, and create a usable GUI for it.
Tags: java, wiigee, wiimote
Posted in Thesis | No Comments »
Wiigee + OSC + Ableton Live (+ Pure Data)
Tuesday, May 12th, 2009
I edited the Wiigee demo application to send out OSC messages. These messages get formatted by Pure Data to MIDI messages for Ableton Live. For now it just says the gestures out loud, but ultimately, a set running in ableton live can be completely controlled by these gestures. Triggering notes or sequences that are or are not quantized to the beat.
Anyway, here’s a video where I show these 5 quick test gestures; “Circle”, “Square”, “Z”, “Triangle” and “Tennis”. A musician will be able to choose his own gestures and his own events connected to those gestures so he can control his music without having to hide behind his computer.
Wiimote Gesture recognition with WiiGee from Wout Standaert on Vimeo.
The next step is using 4 wiimotes for gesture recognition. Then the movements made will hopefully have a higher rate of recognition. Now it has a 90% success rate or so.
Tags: Ableton Live, java, Pure Data, wiigee, wiimote
Posted in Thesis | 2 Comments »
Wiimote Gesture Recognition – wiigee
Sunday, May 10th, 2009
Hi everyone, it’s been a while. I’ve mostly been writing these last few days but now I wanted to work on my gesturing prototype again so I did. I compiled the demo-application that comes with WiiGee, and it works quite well.
Training of the gestures works smoothly, and recognition is fast, but it’s sometimes a bit off when you’ve overtrained a gesture or when it was not precisely trained. Then it will recognize every movement as that particular gesture. But overall it works very fast and I’m curious to how it will perform with multiple wiimotes.
Tags: java, wiigee, wiimote
Posted in Thesis | No Comments »