Title: Chap 2 KINEMATICS
1Chap 2KINEMATICS
22.1 KINEMATIC CONVENTIONS
Absolute Spatial Reference System
3Total Description of a Body Segment in Space
- Position(x,y,z)of segment center of mass
- 2. Linear velocity
of segment center of mass
3. Linear acceleration 4. Angle of segment in two
planes, ?xy, ?yz 5. Angular velocity of segment
in two planes, ?xy, ?yz 6. Angular acceleration
of segment in two planes, ?xy, ?yz
of segment center of mass
feetlegstightstrunkheadupper armsforarms
and hands 12
12x15180 variances
42.2 DIRECT MEASURMENT TECHNIQUE
Goniometers
- inexpensive, available immediately for recording
- relative angular data
- excessive length of time to fit and align
- encumbered by the straps and cables
- more complex goniometers required, if not hinge
joints
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6Accelerometers
- Fma
- strain gage, piezoresistive type
- vKan
7Accelerometers
- Problems of limb rotation
- Limitation
- - not change drastically
- - horizontal flexion of the forearm about a
fixed elbow joint - Available immediately for recording
- Relative to its position on the limb segment
- expensive,
- encumbered movement,
- easily broken,
- artifact in rapid movements
-
8A typical electric circuit of an accelerometer
92.3 IMAGE MEASURMENT TECHNIQUE
Review of Basic Lens Optics
- Image size is related to object size by
triangulation
10f-Stop Setting and Field of Focus
- f fraction of lens aperture opening
- Larger f, lower f-stop setting
- 22, 16, 11, 8, 5.6, 4, 2.8, 2
11Cinematography
- Consideration
- ASA rating
- Shutter factor
- Frame speed
12Multiple Exposures
- strobe light,
- strips, markers are placed on the subject
132.4 DATA CONVERSION TECHNIQUE
Analog-to-Digital Converters
14Nature of Unprocessed Data
2.5 PROCESSING OF RAW KINEMATIC DATA
- Raw data many noises from many sources
- Raw data should be smoothed !
15Harmonic (Fourier) Analysis
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18Sampling Theorem
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21Signal vs Noise
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24Smoothing and Fitting of Data
- Curve-Fitting Techniques
- The Trajectory signal has a predetermined shape.
- By fitting the assumed shape to a best fit with
the raw data, a smooth signal will result.
25Digital Filtering
(a) Hypothetical frequency spectrum of a waveform
with a signal plus high-frequency noise
(b) Response of low-pass filter Xo(f)/Xi(f) to
attenuate noise
(c) Spectrum of the output waveform
High freq noise is severely attenuated, with only
minor distortion in the transition region fc
26Digital Filtering
- Signal spectrum vs Noise spectrum
- Cutoff frequency
- Recursive digital filter
Depend on type and order of the filter, sampling
frequency and the cutoff frequency
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28Choice of Cutoff Frequency- Residual Analysis
- To carry out a harmonic analysis
- Residual analysis better
29Comparison of Smoothing Techniques
- Accelerations
- Accelerometer
- Film after digital filtering
Flex/Ext angle
- Accelerations
- 9th order
- Chevyshev
- polynomial
- accelerometer
- Accelerations
- FD method
- accelerometer
30Limb-segment Angles
2.6 CALCULATION OF ANGLES FROM SMOOTHED DATA
31Joint Angles
- 0 flexion when the knee is fully extended
- knee flexion, when the leg moves in a posterior
direction relative to the thigh
32Velocity Calculation
2.7 CALCULATION OF VELOCITY ACCELERATION
- The line joining xi-1 to xi1 has the same
slope as the line drawn tangent to the curve at
xi
33Velocity Calculation
Finite Difference Method
34Acceleration Calculation
or