Gesture Signal Processing and Music

From CCRMA Wiki

(Difference between revisions)
Jump to: navigation, search
(Gesture and Measuring Movement)
(Accelerometers: How to analyze data)
 
(3 intermediate revisions not shown)
Line 32: Line 32:
**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.
 +
* 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): <pre>y = y_prev + x.</pre>
 +
** Leaky integrator as approximation of integration:  <pre>y = a*y_prev + (1-a)*x</pre>
 +
* Thresholding - detecting specific events
 +
** max: past. pd: threshold
 +
* Classification through training of Machine Learning algorithms
 +
**e.g. Rebecca Fiebrink's Wekinator: http://wekinator.cs.princeton.edu/
 +
 +
=== Mapping to Sound ===
 +
* How do we create a musically expressive instrument from sensor data?
 +
* We need to map the data from one domain to another appropriately:
 +
** linear: to map [a b] to [c d] use <pre>z = (s-a)*(d-c)/(b-a) + c</pre>
 +
** exponential: more appropriate in many situations since perceptual qualities are often logarthmic.
 +
** any arbitrary function
 +
* max: scale, pd: ???
 +
* How do we decide the best mapping? (i.e. How do we select what physical parameter controls which musical parameter?)
 +
**this is an art, not a science!

Current revision as of 00:43, 12 October 2009

Contents

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

  • How do we create a musically expressive instrument from sensor data?
  • We need to map the data from one domain to another appropriately:
    • linear: to map [a b] to [c d] use
      z = (s-a)*(d-c)/(b-a) + c
    • exponential: more appropriate in many situations since perceptual qualities are often logarthmic.
    • any arbitrary function
  • max: scale, pd: ???
  • How do we decide the best mapping? (i.e. How do we select what physical parameter controls which musical parameter?)
    • this is an art, not a science!
Personal tools