Microsoft PowerPoint - HumanMove

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							                                        2010/7/17




Human Movement
        Fong-Chin Su 蘇芳慶


    國立成功大學醫學工程研究所
  Institute of Biomedical Engineering
    National Cheng Kung University




                                               1
                      2010/7/17




XBOX Motion - Natal




Sony PS3 Motion




                             2
                                                   2010/7/17




  History of Gait Analysis
  before the advent of modern computers

Aristotle (384-322 BCE)
  the earliest recorded comments regarding the
   manner in which humans walk.
Giovanni Borelli (1608-1679)




  History of Gait Analysis
  before the advent of modern computers

Aristotle (384-322 BCE)
   the earliest recorded comments regarding the
    manner in which humans walk.
Jules Etienne Marey (1830-1904)
 Eadweard Muybridge (1830-1904)
   made significant advances in measurement
    technology.
             gy




                                                          3
                         2010/7/17




   Eadweard Muybridge

 "Attitudes of
  Animals in Motion"
  (1881)Animated b
  ( 88 ) i        d by
  Charl Lucasson
 Animal Locomotion
  (1887)
 The Human Figure in
  Motion" (1901)
 Gave rise to the
  invention of cinema




   Eadweard Muybridge




                                4
                                                  2010/7/17




  History of Gait Analysis
  before the advent of modern computers

Verne Inman (1905-1980) and
 Howard Eberhart (1906-1993)
   made major advances in America shortly
    after the Second War.
David Sutherland (1923-2006) and
 Jacquelin Perry
   pioneered clinical applications in America.
    p                   pp




  History of Gait Analysis
  before the advent of modern computers

Braune & Fischer (1895): classic
 scientific study of human gait: body & joint
 f         l l
 forces calculatedd
Bernstein (1935): studies in Russia
Elftmann (1938): mechanical force
 platforms
        y(        )
Murray (1964): Walking p g patterns of
 normal men
Paul (1966): Hip joint forces in normal
 walking
Winter (1978): TV system, Joint powers




                                                         5
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Exoskeletal goniometer
examination of lower limb motions




               Larry W. Lamoreux 1936




                                               6
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Films in the open air




                        Charles Ducroquet




Glass Cage




                                                   7
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  Motion capture (motion
  tracking)
To describe the process of recording
 movement and translating that
            t   t    di it l
 movement onto a digital model.d l
It is used in military, entertainment,
 sports, and medical applications.




  Why Computerized Motion
  Analysis
Eye is too slow (flicker-fusion rate
 about 12 Hz)
Motion leaves no record
To analyze internal forces and
 moments




                                                 8
                                           2010/7/17




  Motion capture allows

place an actor in a scene that may be
 impractical, or too dangerous to do in
    l lif
 real life.
do scenes that would normally be
 prohibitively expensive.
do the impossible.




  Requirements of a motion capture
  system

Fast and easy setup for the actors and
 quick calibration.
Allow the actor unrestricted movement.
Detailed motion as well as gross body
 motion.
Accurate.
Quick turnaround from the time of
 motion capture to the finished data set
 being ready to animate on a skeleton
 system.




                                                  9
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  Measurement Systems

 Electromechanical       Linkage
 Methods
 Stereometric    Methods
 Magnetic    Tracking
 Imaging   Techniques
 Accelerometic     methods




  History of Motion Capture

1980-1983: Simon Fraser University —
 Goniometers
1982-1983: MIT — Graphical
 Marionette
  Op-Eye and SelSpot systems
  Optical trackers typically use small markers
                       y                g
   attached to the body—either flashing LEDs or
   small reflecting dots—and a series of two or
   more cameras focused on the performance
   space.




                                                        10
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Triaxial Electrogoniometers




Triaxial Electrogoniometer




                                    11
                                        2010/7/17




  Goniometer

Advantages
  The most convenient
  Least expensive
  Immediate availability of the data
Disadvantages
  Accuracy
  Cross talk
  Not a useful instrument at the hip




  Magnetic Tracking




                                              12
                                             2010/7/17




  Accelerometer




  Camera

Film Photography

A t   t d Vid
Automated Video
   passive markers - reflective marker
   active markers - light emitting diodes




                                                   13
                                         2010/7/17




  Film Photography

A rotating prism camera




                          supply roll
        Lens
 li ht path
 light th

       rotating
                          take-up roll
       prism block




  Film Photograph


 Interrupted light




                                               14
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  Film Photograph


Sequenced photograph




1895 Marey; modified from Muybridge)




  Film Photography

   Transfer the data from film to
     computer
        p




                                             15
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    Active Marker Systems




Motion Analysis Corp.       Vicon




    Active Marker System




                                          16
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  Optotrak




  Applications

Biomechanics
Physical rehabilitation
Sports analysis and coaching
Virtual reality
Dynamic feedback control
3D navigation
Comp ter animation
Computer




                                      17
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ANIMATION PRODUCTION




MOVEMENT ANALYSIS




                             18
                                                                                   2010/7/17




       Industrial Applications




                                             Ford - training, process simulation
                                             and ergonomic compliance in
                                             vehicular assembly




Bell Helicopter Builds Immersive
Engineering Center
Design Evaluations Use Motion Analysis
                                    Lockheed's Human Immersive Lab
Corp. Tools                         (HIL) in Fort Worth - full-scale
                                    validation is conducted using virtual




                                                                                         19
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          GAIT




  Motion Analysis System

Define the person’s gait
Delineate their magnitude, timing and
 phasic relationships
Correlate the patients performance
 with normal phasic function
Primary deficits can be differentiated
 from substitutive actions




                                                20
                                            2010/7/17




   Goals of the motion analysis

To describe the difference between a
 patient’s performance and a
 nondisabled subject’s performance
To classify the severity of a disability
To determine the efficiency of
 intervention
To enhance performance




  Goals of the motion analysis

To identify the mechanisms causing
 the gait dysfunction




                                                  21
                                                            2010/7/17




  KINEMATICS - MOTION

Kinematics is the study of body motion
 without reference to the forces causing this
 motion.




  Analytic Description


 Eulerian angle system
    Describe gross movement (three-dimensional joint
     rotation) of the limb segments interconnected by
     joints.
    Matches the clinically definition of joint movement.
 Screw-displacement axis
 S     di l       t i
    Detailed analysis of joint articulating surface
     motion, where generalized three-dimensional
     rotation and translation are described.




                                                                  22
                                                2010/7/17




     KINETICS - FORCE AND
     MOMENT
the study of the forces causing or resulting
 from motion




     LOAD <--- > DISPLACEMENT




 FORCE                <--- >   TRANSLATION
 MOMENT <--- >                 ROTATION
    bending moment
    Torque




                                                      23
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  Joint Moment




  Kinetics

Joint Moment (M)
   Agonists: Same “polarity” as the moment
   Anagonists: Reverse polarity
Joint Power (M · 
   Concentric Contraction: Positive
   Eccentric Contraction: Negative




                                                    24
                                                 2010/7/17




  Applications of Motion
  Analysis
Basic and clinically applicable applied
 value in medicine and biology.
Evaluate functional performance of
 limbs under normal and abnormal
 conditions.
Essential for proper diagnosis and
 surgical treatment of joint disease.
Design of prosthetic devices to restore
 function.




  Automated Motion System


                 5
   4


                                            6

                                  force plates


      walk way                              1

  3

                 2   camera 1~6




                                                       25
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Automated Motion System




Marker System


   Cleveland   (25)   Helen Hayes   (21)




                                                 26
                                                            2010/7/17




Motion Data Acquisition


  using six cameras to collect
  the markers’ motion




                                   collecting the loading
tracking markers’ motion
                                   on force plates




           using motion data of markers and force
           plates data to compute kinematic
           and kinetic data




Motion Data Acquisition


                                 Band Pass Filter
  Raw EMG                        (40 - 400 Hz)




       Integrator                    Full Wave
       (EMG LE)                      Rectifier




   Normalized by                      Ensemble
   %Peak & % GC                       Average




                                                                  27
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      28
                                                       2010/7/17




Eulerian Angle System




Euler Angle


            r11 r12 r13 
eP(after)  r21 r22 r23 
    ft                         eD(b f )
                                  before
                          
            
            r31 r32 r33  
            sss  cc css  sc   sc
           sc           cc            s  eD
                                                
            ssc  cs csc  ss
                                           cc 
                                                 




                                                             29
                                                                   2010/7/17




Euler Angle


                             2         2
  A tan 2 (   23 ,                   )   (Add/Adb)
                             13        33


  A tan2(   13 / C  ,  33 / C  )         (Fle/Ext)

  A tan2(   21 / C  ,  23 / C  )         (Axial Rotation)




Screw displacement Axis




                                                                         30
                                                                             2010/7/17




      Joint Angles


              Knee                               Hip
                                                         INT     l R t ti
                                                         INTernal Rotation
                Flexion                                  ABDuction




                                   Degrees
                                                         Flexion
          0                                      0
                Extension                                Extension
                                                         ADDuction
                                                         EXTernal Rotation
          Ankle                                  Pelvis
                                                         Forward Rotation
                Dorsiflexion                             Hike
                                                         Anterior Tilt
          0                                      0
                                                         Posterior Tilt
                Plantar Flextion                         Drop
                                                         Backward rotation




      Joint Angles


          Subtalar                               Trunk
                                                       Forward Rotation
                Inversion                              Right Lean
Degrees




                                                       Flextion
          0                                  0
                                                       Extension
                Eversion                               Left Lean
                                                       Backward Rotation




                                                                                   31
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      32
2010/7/17




      33
                                                                                  2010/7/17




        Motion Data Interpretation

        Joint Angle
              Group I   Group II   Group III   Group IV     Normal




                                                 Winters TF, et al: 1987




        Motion Data interpretation

        Moment

Hip




Knee




Ankle
                                                                      Data from
                                                                      Kadaba et
                                                                      al. 1989




                                                                                        34
                                                2010/7/17




Motion Data Interpretation

 EMG




                      Data from University of
                      Waterloo




                                                      35
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      36
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Assistive
Devices




                  37
                      2010/7/17




Assistive Devices

          W lki
Canes or Walking
C
 Sticks
Crutches
W lk
Walkers




   Gait in Children




                            38
                        2010/7/17




          Aging
            &
           Gait



           AGING
Gait and age-related
 changes
Falls in the elderly
  Gait and falls
  walking stairs
         g




                              39
                  2010/7/17




    Gait in
Musculoskeletal
M    l k l t l
 Abnormalities




Prosthetics
   and
 Orthotics



                        40
                   2010/7/17




   Training in
Clinical P   ti
Cli i l Practice




                         41

						
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