You can try scale/adaptive from the pdmtl abstractions: http://wiki.dataflow.ws/pdmtlabs
It is an autoscale than tightens over time.
It was previously known as powerranger.


Tof

On 12/20/06, cyrille henry <cyrille.henry@la-kitchen.fr> wrote:

Hans-Christoph Steiner a écrit :

>
> Looks quite nice, but I would like to see greater variation in the
> sound.  Perhaps in the final show, there will more other elements to
> fill it out.
for sure, we make 2 more week of work after this video. but i think we nead a better microphone than the camcoder mic in order to record the sound.
i don't know how the final captation quality will be.

>
> So this is the first big proof-of-concept for the mapping collection.
few years ago, this collection was call "la kitchen" in CVS abstraction folder, and i already used it a lot.
lot's of things changed, but the spirit was there.

> How did it work out?
i commited everything that needed to be changed :-)
this collection feet my need, but i think it's quite logical :-)
(ok, i still have few things to clean and commit)
i would like a autocal object with a start ans stop callibration feature. do you think i can add this to the curent autocal object?
i also would like a an dynacal (dynamic calibration) object that take maximum value from the last few sec by example in order to make the calibration.

i fink few abstraction could be turn into external for performance isue, but that's optional.

>I have an instrument design that I'll be working
> on over January where I will try to use the mapping library extensively.
great.

cyrille

> .hc
>
> On Dec 19, 2006, at 7:04 PM, cyrille henry wrote:
>
>> hello,
>>
>> i used embeded sensors : flex sensors and accelerometter.
>> the sensors are connected to a wifi sensors box and send to a computer
>> over udp.
>> you can find pictures of the sensors system here :
>> http://drpichon.free.fr/ch/ecrire/upload/
>>
>> the mapping strategy is usually like this :
>> sensors calibration -> data short analysis : (high pass filter,
>> differentiation, ...) -> some kind of non-linearity depending on the
>> movent tracked ([max 0] ...)-> curve object -> diferents kind of
>> physical model filter to generate 3 data from 1 single input => audio
>> synthesis (noise + band pass filter (varing output amplitude + cutof
>> freq + Q).
>>
>> in fact, i did not work on the sound : i just send data to the
>> musician (and the light).
>> i hope i'll have the show video quite soon...
>>
>>
>>
>> Kyle Klipowicz a écrit :
>>> Very nice!  I like the dancing too, very martial arts.
>> dance come from video game...
>>
>>
>>
>> cyrille
>>
>>
>>> How many cameras did you use to track the motion, and what was their
>>> configuration?  Or is that a sensor strip on the floor?  I'm curious
>>> about methodology, please tell more!
>>>  ~Kyle
>>>  On 12/19/06, *cyrille henry* <cyrille.henry@la-kitchen.fr
>>> <mailto: cyrille.henry@la-kitchen.fr>> wrote:
>>>     hello,
>>>     here are few videos of movement sonification.
>>>     i used pd + the mapping abstractions for the relations between
>>>     embeded sensors and sound (or light).
>>>
>>> http://drpichon.free.fr/ch/data/LAURE%20combat%20capteurs%20sons%20lumiere3.mov
>>>
>>>
>>> http://drpichon.free.fr/ch/data/LILOU%20combat%20capteurs%20sons4.mov
>>>     http://drpichon.free.fr/ch/data/BABS%20combat%20capteurs%20sons5.mov
>>>
>>> < http://drpichon.free.fr/ch/data/BABS%20combat%20capteurs%20sons5.mov>
>>>     more infos and description of the project (french) :
>>>     http://mylene.benoit.free.fr/
>>>     cyrille
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