Continuous gesture control of audio and visual media Nicolas - - PowerPoint PPT Presentation

continuous gesture control of audio and visual media
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Continuous gesture control of audio and visual media Nicolas - - PowerPoint PPT Presentation

Continuous gesture control of audio and visual media Nicolas Rasamimanana, Bruno Zamborlin, Frdric Bevilacqua, Norbert Schnell, Fabrice Gudy IRCAM, CNRS - STMS, Real Time Musical Interactions Team 1 Place Igor Stravinsky, 75004 Paris,


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Continuous gesture control of audio and visual media

Nicolas Rasamimanana, Bruno Zamborlin, Frédéric Bevilacqua, Norbert Schnell, Fabrice Guédy

IRCAM, CNRS - STMS, Real Time Musical Interactions Team 1 Place Igor Stravinsky, 75004 Paris, France Frederic.Bevilacqua@ircam.fr

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IRCAM - Real Time Musical Interactions

Motivations - Context

  • Expressive gestural control of digital media

Embodiment in music Musical Expression (NIME)

  • Applications in music and performing arts

Artistic and pedagogical applications New interfaces (cell phone, Wii, etc)

  • from « triggering » to « following »

push the button lead the electronic music

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IRCAM - Real Time Musical Interactions

Goals

  • Hyp: Gesture « meaning » is in temporal evolutions
  • Real-time gesture analysis :

gesture following: time progression of the

performed gesture

recognition/characterization: similarity of the

performed gesture to prerecorded gestures

  • Requirements

simple learning procedure, with a single example adaptation to the user idiosyncrasies continuous analysis from the beginning of the gestures

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IRCAM - Real Time Musical Interactions

  • Demo max
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IRCAM - Real Time Musical Interactions

Time Profile Modeling: HMM

time sensor value

probability density function

Markov Chains

transition probabilities

Markov Models

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IRCAM - Real Time Musical Interactions

Gesture ?

  • Any datastream of continuous parameters
  • typically 0.1 to 1000 Hz
  • from motion capture systems:

image descriptors accelerometers, gyroscope, magnetometers

  • from sound descriptors

pitch, loudness mfccs, ...

  • multimodal data
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IRCAM - Real Time Musical Interactions

Music Pedagogy Applications

  • Continuous control of audio
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IRCAM - Real Time Musical Interactions

Music Pedagogy Applications

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IRCAM - Real Time Musical Interactions

Artistic Applications

augmented string quartet (StreicherKreis - Florence Baschet)

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IRCAM - Real Time Musical Interactions

Artistic Applications

  • Dance performance - Continuous control of video
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IRCAM - Real Time Musical Interactions

Implementation

gf: C++ libs iPad mobile device Max/MSP

+ FTMCo and Mubu Library : real time control of multimodal data and sound synthesis.

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IRCAM - Real Time Musical Interactions

Conclusions

  • Reliable system for realtime
  • continuous time warping (time progression)
  • time profile characterization based on comparison with

examples, recognition possible

  • Successfully implemented in artistic and pedagogical

applications in performing arts

  • Current work:
  • anticipation, prediction
  • adaptive system
  • Demos at Barcamp
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IRCAM - Real Time Musical Interactions

Acknowledgements

  • We acknowledge partial support of the following projects:
  • ANR project Interlude (France).
  • EU-ICT Project SAME (Sound And Mu- sic for Everyone Everyday

Everywhere Every way, http://www.sameproject.eu/)

  • i-Maestro project (IST
  • 026883, www.i-maestro.org),
  • ANR project EarToy (France).
  • Thanks to

Atelier les Feuillantines : Fabrice Guédy, Barnabé, Sandro, Berenice Remy Muller, Alice Daquet, Riccardo Borghesi, Diemo Schwarz,

Fivos Maniatakos, Tommaso Bianco, Donald Glowinski