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Psychophysical Model of Motorcycle Handlebar Vibration

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Review existing literature on human response to vibrations transmitted through the hand. ... Test rig: A 2005 Victory Vegas motorcycle frame. ... – PowerPoint PPT presentation

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Title: Psychophysical Model of Motorcycle Handlebar Vibration


1
Psychophysical Model of Motorcycle Handlebar
Vibration
  • Investigators Prof. George Chiu, Prof. Hong
    Tan
  • Students Ali Israr, James Mynderes
  • Haptics Interface Research Laboratory
  • Herrick Laboratories
  • Purdue University, USA

2
Objectives
  • Review existing literature on human response to
    vibrations transmitted through the hand.
  • Develop a base-line function of human perception
    for motorcycle handlebar vibrations along one
    axis.
  • Establish the psychophysical model relating
    physical measurements of vibrations to human
    assessment of perceived vibration levels.
  • Make recommendations on handlebar mount design
    parameters for improved rider comfort.

3
Background
  • Total perceived acceleration can be calculated
    by
  • ISO defined functions
  • Critical Band model of Makous et al. (1995)
  • ISO weighted function
  • Critical band model of Makous et al. (1995)
    implies that - the total perceived energy is
    equal to the sum of the energy of individual
    frequency components above the detection
    threshold curve.
  • The base-line frequency function is the detection
    threshold frequency curve in ISO and
    psychophysical methods.

4
Experimental Methods
  • Participants Ten participants (5 male and 5
    female, age 22-44 average 27 years) were used in
    two psychophysical experiments.
  • Exp. 1 Detection Threshold Experiment
  • 10 test frequencies 20, 30, 75, 100, 150, 170,
    200, 230, 260, and 300 Hz.
  • Two-interval forced-choice (2IFC), one-up
    two-down adaptive method.
  • Threshold value converged to 70.7 percentile
    point to the true value.
  • Each participant was tested accumulatively for 2
    hours on different days.
  • Exp. 2 Subjective Magnitude Experiment
  • 15 test stimulus at different speeds and
    gear-levels were provided by Polaris.
  • Each stimulus was randomly presented twice in
    each session.
  • Participant rated vibrations to numbers between
    0-100.
  • Four sessions were completed for one participant
    in one day.
  • Data was normalized for each session and
    participant.
  • All experiments were done in closed environment
    with participant sitting in riding posture. Pink
    noise was used through headphones to mask
    surrounding and actuator noise.

5
Experimental Setup
  • Test rig A 2005 Victory Vegas motorcycle frame.
  • Motran AFX-70NS linear Inertial Force Actuator
    (IFA) powered by a QSC two-channel 70 W audio
    amplifier.
  • A PCB 356B18 triaxial accelerometer with PCB
    480E09 ICP signal conditioner (1x to 100x gain).
  • One axis feedback control was provided by a
    dSPACE ACE1104 rapid prototyping kit.
  • SigLab Dynamic Signal and System Analyzer was
    used for data acquisition.
  • Cardboard screen is placed in front of the
    participant to visually partition hand
    vibrations.
  • Two LEDs were mounted on the screen in front of
    the participant to indicate experimental steps.
  • Foot pedals were used for subject response and
    response recording was done through parallel port
    of a desktop.

6
Results Detection Threshold Experiment
  • A typical Stair case function (below).
  • Threshold level against test frequencies (right).

NOTE Threshold levels were similar to the
threshold levels derived from the data in
psychophysical literature.
7
Results Subjective Magnitude Experiment
  • A psychophysical Model

8
Summary Conclusion
  • Recommendations were made on handlebar mount
    design parameters for improved rider comfort.
  • Low frequency vibrations (lt50 Hz) had a much
    larger effect on perceived vibration intensity
    than high-frequency vibrations.
  • Psychophysical detection threshold was a better
    measure of the baseline function for the human
    perception.
  • It is possible to predict the perceived vibration
    intensity from the measured vibration spectrum
    using the psychophysical model.
  • Future studies
  • Determining thresholds, or baseline functions,
    for two dimensional vibrations and access
    perceived intensity.
  • Similar Experiments on design of seat and
    footrest vibrations.
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