Difference between revisions of "Gesture Signal Processing and Music"

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(Gesture and Measuring Movement)
(Interlude #2: Filtering of Audio Signals)
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**A high-pass filter removes low freqs.   
 
**A high-pass filter removes low freqs.   
 
** A band-pass only lets certain middle frequencies through.
 
** A band-pass only lets certain middle frequencies through.
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* Is differentiation a low-pass or high-pass filter?  What about integration?
 +
 +
== Back to movement and music ==
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=== Accelerometers: How to analyze data ===
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* How to distinguish orientation vs movement?
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* Can get jerk via difference (as approximation of differentiation)
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* How to get velocity from acceleration (or position from velocity)?
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** True integrator (will eventually overflow):
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***<pre>y = y_prev + x.</pre>
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** Leaky integrator as approximation of integration: 
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***<pre>y = a*y_prev + (1-a)*x</pre>
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* Thresholding - detecting specific events
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** max: past. pd: threshold
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* Classification through training of Machine Learning algorithms
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**e.g. Rebecca Fiebrink's Wekinator: http://wekinator.cs.princeton.edu/
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=== Mapping to Sound ===

Revision as of 00:37, 12 October 2009

Gesture and Measuring Movement

  • What is a gesture? Physical. Bodily: hands, face, posture. Non-verbal. What do gestures communicate? Is a gesture more like a button or a handle?
  • What is a musical gesture?

Techniques for measuring human movement

Really basic physics

  • Position: x
  • Velocity: v = dx/dt
  • Acceleration: a = dv/dt
    • Proportional to force (Newton's 2nd law of motion: F = ma )
  • Jerk: j = da/dt

Interlude #1: Open Sound Control

Interlude #2: Filtering of Audio Signals

  • Can view any sound as being composed of sinusiodal waves at different frequencies
  • A filter removes energy at only certain frequencies:
    • A low-pass filter removes high freqs.
    • A high-pass filter removes low freqs.
    • A band-pass only lets certain middle frequencies through.
  • Is differentiation a low-pass or high-pass filter? What about integration?

Back to movement and music

Accelerometers: How to analyze data

  • How to distinguish orientation vs movement?
  • Can get jerk via difference (as approximation of differentiation)
  • How to get velocity from acceleration (or position from velocity)?
    • True integrator (will eventually overflow):
      • y = y_prev + x.
    • Leaky integrator as approximation of integration:
      • y = a*y_prev + (1-a)*x
  • Thresholding - detecting specific events
    • max: past. pd: threshold
  • Classification through training of Machine Learning algorithms

Mapping to Sound