Week 5 - Kinematic motion Analysis 2 Flashcards

1
Q
  • Briefly explain the difference between Optoelectric, Automatic and Real-time automatic motion analysis systems:
A
  • optoelectric systems have active (infrared signals) and passive (reflective signals) markers
  • Automatic has auto marker tracking, auto prediction and marker search
  • Real-time uses either video or IR-sensitive cameras, can generate capture and reconstructed output in real time (very slight delay)
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2
Q

Explain the main differences between 2D and 3D data collection procedures.

A
  • 2D: generally requires the use of only one camera, Data usually represented in x and y direction
  • 3D: This requires a minimum of 2 cameras (often more complex movements), data in x, y, z directions, gen-locked for synchronisation (shutter, frames)
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3
Q

Outline the advantages and disadvantages of using a 3D data collection system versus a 2D system.

A

Advantages of 3D over 2D:
- accurate representation of movement in all directions (x,y,z)
- Rotational movements can be analysed
- Can extrapolate data to obtain rotational kinematic and kinetic data
- Allows more complete and accurate analysis and refinement of movement patterns
- Disadvantages of 3D over 2D:
- Relatively expensive
- computer hardware and software is expensive
- complex nature of set-up of data collection and use of software
- Must be in laboratory setting, limited

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4
Q

List several points of consideration when performing 2D data collection for each of the following:

A

Cameras:
- tripod, levelled, no panning
- Positioned far away, zoomed in
- Make image as large as possible
- Ensure plane of motion is perpendicular to the optical axis of camera
- Use sufficient frame rate and shutter speed to capture motion
- Ensure images are recorded!

Calibration
- Scale device to known length, same distance from camera as performer
- Horizontal device may remain throughout performance
- if video, vertically aspect ratio
- Scale device must be large enough
- distortion error
- digitising error

The background area
- Clear, uncluttered, non-reflective
- Avoid filming into the sun
- Ensure adequate light for correct exposure (beware of glare)

The subjects
- Written informed consent
- Form fitting clothing
- Land marks should contrast
- Allow performance to be unobstructed

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5
Q

Explain what an analogue to digital converter does.

A

VHS cameras
- Conversion of physiological signal (Voltage) to a computer signal (binary digital code)
- An electrical signal fed into an A-D converter
- Signal is sampled (series of snapshots)
- Fed to computer memory
- Analysed by us

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6
Q

Explain the “Sampling Theorem” using video collection as an example.

A
  • Digital signals consist of a series of snapshots of a physiological signal taken at regular time intervals
  • How often in 1 second these snapshots are taken is called the sampling rate (eg 50Hz)
  • “The process signal must be sampled at a frequency at least TWICE as high as the highest frequency present in the signal itself”
  • The human eye averages or smoothes out the jumping movement
  • Too low: analysis errors & false frequencies
  • Too high: more expensive equipment to sample at high frequency as well as analyse
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7
Q

What is digitising?

A

Process of converting film/video images into computer images with known co-ordinate geometry

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8
Q

List and explain several sources of error when digitising and how these errors might be minimised.

A
  • Grain / pixels
  • Marker shift
  • Segmental data assumptions
  • Motion outside plane perpendicular to camera axis (2D)
  • Motion outside calibration volume
  • Data filtering/smoothing technique
  • Calculation of derived quantities
  • Timing calibration
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9
Q

What minimum number of reference control points is required for the solution of Direct Linear Transformation?

A

A min number of six control points on a reference structure with known X, Y and Z co-ordinates is needed for the solution of the DLT.

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10
Q

Explain the statement: Accurate co-ordinate reconstruction can only be guaranteed within the calibration volume.

A
  • Accurate co-ordination reconstruction can only be guaranteed when there is an object with a known reference point
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11
Q
  • Explain the problems associated with over and under smoothing
A
  • If the choice of cut off frequency is too low or the data is over smoothed then valuable data will be lost
  • If the cut off frequency is too high or the data is not smoothed enough then unwanted noise will remain.
  • The degree of smoothing from digitised data is often subjective – visual observation decision
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12
Q

There are several forms of data smoothing and filtering that can be applied to kinematic motion raw data. Be able to name and explain several of these processes.

A
  • Finite difference technique - takes weighted average but not usually good enough if you want acceleration
  • Digital low pass filters - Widely used to filter/remove high frequency noise from data but chops out sudden changes
  • Fourier series truncation - converts noisy data into frequency domain, presented as amplitudes of frequency, filtered to remove high frequency noise, transformed back into time domain.
  • Curve fitting - involves fitting a smooth curve (drawing a line of best fit) to a series of data points (cubic, quintic, polynomial)
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13
Q

Curve fitting smoothing techniques (3):

A

Cubic spline
- Uses 3 data points
- Forces data to meet at end points
Quintic spline
- Uses 5 data points
- Forces data to meet at end points
Polynomial spline
- 1 equation for whole data set
- First order = straight line
- Better for predictable motion

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