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Affective Effects

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Information overload places demands on our attentional resources. ... A music file is loaded from a playlist and, depending on the affective state, is ... – PowerPoint PPT presentation

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Title: Affective Effects


1
Affective Effects
  • Ambient Display of Facial Affect using Musical
    Effects

Luke Barrington 10th October 2005
2
Outline
  • Ambient Technology
  • Musical Displays
  • Facial Affect Model
  • Effect Evaluation
  • System Prototype

3
Acknowledgements
  • Dr. Michael Lyons Dominique Diegmann
  • Intelligent Robotics and Communication
    Laboratories
  • NSF / JSPS East Asia and Pacific Summer
    Institutes (EAPSI) program

4
Ambient Technology
  • Information overload places demands on our
    attentional resources.
  • Professional, home community roles intersect
    with each other and distract.
  • Ambient or calm technologies seek to present
    information in a low stress fashion in the
    periphery
  • salient data is brought to your attention
  • insignificant details dont register

5
Keeping Calm
6
Ambient Technology at Work
The Dangling String
Heat Sink
Prada RFID Closet
7
Musical Displays
  • Music is a natural and flexible medium for an
    ambient display.
  • It does not interfere with and often enhances
    unrelated activities
  • working, relaxing, cleaning, chatting, driving,
    exercising,
  • Music is complex enough to provide a display
    substrate with considerable bandwidth.
  • The relation of music to emotions suggests that
    it may be well-suited for communicating
    information about human affect.

8
Related Work
  • Xerox PARC Audio Aura Mynatt et. al. 1998
  • Weakly Intrusive Ambient Soundscape (WISP)
    Kilander Lonnqvist 2002
  • Adding phrases to a musical piece Butz Jung
    2003
  • Limitation all these systems use pre-selected
    sonic components.
  • To overcome this we use audio effects, applied to
    music of the users choice, to encode the
    information to be displayed.

9
System Design
10
Project Motivation
  • Care of a dependent elder watching television
  • Other ATR projects (Intention Detection,
    MemoryScape)
  • More applications
  • Monitor a classroom
  • Observe a baby
  • Watch a pet

11
Demo Design
12
Feature Extraction
  • Input is from a web camera mounted above TV 15
    frames / second
  • Face detection algorithm from Viola Jones
    2001
  • Use optic flow in detected area to calculate
    motion in 7 facial regions.
  • 3 binary features
  • face detected 0,1
  • rigid motion of the head 0,1
  • non-rigid motion of facial features 0,1

13
Affective State
  • Russel 2003 proposes an alternative to the 7
    emotions Core Affect.
  • 2 dimensions Activation and Pleasure.
  • Pleasure is more difficult to quantify
    automatically.
  • Discretize activation into 3 levels
  • agitated
  • normal
  • relaxed
  • 4th possible state is absent.

14
Activation Levels
  • The discrete binary signals from the vision
    system are converted into activation levels,
    evaluated at a constant interval T ( 0.5s)
  • where n number of detections in interval
    t-T, t
  • d 0.05 is an accumulator constant
  • If the presence level falls below a threshold,
    the absent state is triggered indicating no face
    has been detected for a set interval (15 seconds).

15
Affective State Model
  • Given presence, affective state is determined by
    the rigid and non-rigid motion levels which vary
    between 0, 1.
  • Threshold levels for each activation value
    determine the source's location in 2D state
    space
  • While these indicators could be used to
    continuously vary musical display parameters, for
    simplicity we choose a discrete model.

16
Musical Effects
  • Rather than creating new music, our musical
    display seeks to modify existing music in a
    meaningful way akin to a DJ or producer.
  • We modulate the music using effects filters,
    reverb, delay, time shifts,
  • In designing the effects, we take inspiration
    from existing musical genres

17
Beat Tracking
  • Synchronizing effect onsets and durations with
    the beat (phase) and rhythm (frequency) of the
    music makes the effected output sound more
    musical.
  • Beat synchronization also allows finer control of
    the sparseness of the display.
  • We used Jehan 2004s beat tracking algorithm
  • Frequency-domain derivatives of the music signal
    excite a bank of tuned resonators (comb filters).
  • The resonator with frequency matching the
    periodic modulation of the music phase-locks.
  • The resonator with the maximum response
    corresponds to the tempo and the peak phase
    points correspond to the beat onsets.

18
Musical Effects
  • The affect model and music effects processing are
    implemented in Max/MSP.
  • A music file is loaded from a playlist and,
    depending on the affective state, is routed
    through a particular musical effect patch.
  • Music with effects is sent to the listeners
    speakers.
  • The effects used to represent each affective
    state are selectable according to user
    preference.
  • Patches are synchronized to a master buffer
    position to allow smooth switching between
    effects that depend on the current playback
    position in the song (e.g. skips, rewind).

19
Musical Effects Description
20
Example Code
21
Musical Effects Evaluation
  • A user study had 10 subjects listen to 20 second
    music clips.
  • Subject hear the original followed by 14
    effect-modified versions in random order.
  • Clips from 3 different songs, representing Bossa
    Nova, Classical (solo piano), and Electronica
    musical genres were rated for
  • Activity Level (1relaxed, 2normal, 3agitated)
  • Effect awareness (1No effect, 2Just noticeable,
    3Detectable, 4 Obvious, 5Dominant)
  • Enjoyment (1Very pleasant, 2Pleasant,
    3Neutral, 4Unpleasant, 5Very unpleasant)

22
Effect Ratings
State 1 (relaxed) 3 (agitated) Awareness 1
(obvious) 5 (ambient) Unpleasantness 1 (nice)
5 (nasty)
23
Correlations
Responses average over songs
r 0.96
r 0.89
r 0.76
24
Observations
  • Some effects beat the overall trends by
    maintaining desirable levels of pleasure and
    ambience for relatively agitated states.
  • These findings guided the choice of effects used
    in the prototype
  • low-pass filter (LP), dub effect plus low pass
    filter (dub LP), or filter sweep (FS) were chosen
    to represent the relaxed state
  • high-pass filtered dub (dub HP) or rewind (RW)
    effects represent the agitated state
  • absent state was simply indicated by a gradual
    fade-out of the volume.
  • The correlation of effect awareness and
    displeasure strongly supports the notion that
    ambience enhances the pleasure of an affective
    information display.

25
  • Want to see the demo at work?
  • Want to hear the effects output?
  • Want to ask some questions?
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