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Anthropometric Analysis
1. Anthropometric
Analysis
Joe Jancsics | 2011.09.12 | ADS710 Advanced Human Factors
2. Anthropometric
Analysis Abstract & Key Words
Abstract
When planning the physical elements of an object a designer
must consider quantitative data related to the measurement of
various parts of the human body, this is referred to as anthropo-
metric data.
This project was based on a list of NASA dimension de nitions for
the human body, another person worked with me to assist in
collecting my measurements. Once measurements were col-
lected they were then entered to a formula-based Kroemer KHE
Engineering Physiology Human Dimension Chart Excel document
to calculate my percentile. Some assumptions had to be made
initially in regards to the correct method for collecting several
measurements but through reviewing the prominent outliers and
nding additional reference material we were able to properly
revisit those measurements and collect all the required data.
Key Words
Anthropometric, Measurements, Dimensions, Human Factors,
Variability
Joe Jancsics | 2011.09.12 | ADS710 Advanced Human Factors
3. Anthropometric
Analysis Purpose
Purpose
The purpose of the exercise is to gain an understanding of
anthropometric measurements and how they relate to various
design solutions. Through collecting and analyzing measure-
ments we can expect to use quantitative data to see variances
between the dimensions on any given human in relation to the
general population. This data can help illustrate the challenges
that designers face trying to accommodate for a wide spectrum
of human measurements and body types.
Joe Jancsics | 2011.09.12 | ADS710 Advanced Human Factors
4. Anthropometric
Analysis Method
Method
In order to collect the measurements accurately a second person
was recruited to assist. We both read and printed the PDF outline
from class, once we had an understanding of how to collect the
measurements we gathered the best tools we could nd for the
task (below L to R): a exible nylon tape measure, a metal tape
measure, a wooden stool, and an o ce chair with a center pivot.
Details of the Process:
12 Laid out diagrams of measurements next to NASA list
Started at the top of the list and worked our way down
For the large measurements, such as height, we used the metal measuring tape
For smaller and seated measurements we used the exible measuring tape
A wooden chair was used for some of the seated positions to avoid inaccuracies that could
be caused from a cushion
An o ce chair with a pivot in the center was used for a reliable way to have a consistent seat
reference point for the arm reach measurements
3 Once the full set of measurements was collected it was entered into the
spreadsheet to calculate Z-value and my percentile
4 A few values were extreme outliers and upon revisiting the research
material I discovered some measurements were collected incorrectly.
5 We re-measured these items and completed the spreadsheet. The formu-
las calculated the Z-value and my percentiles for each measurement.
Joe Jancsics | 2011.09.12 | ADS710 Advanced Human Factors
6. Inches
0
10
20
30
40
50
60
70
80
Stature
Eye Height
Shoulder Height
Elbow Height
Height Sitting
Eye Height Sitting
Shoulder Height Sitting
Elbow Rest Height Sitting
Knee Height Sitting
My Results
Popliteal Height Sitting
Results (cont)
Thigh Clear Height Sitting
50th Percentile
Analysis
Anthropometric
Head Breadth
Joe Jancsics | 2011.09.12 | ADS710 Advanced Human Factors
Head Circumference
Interpupilary Distance
Elbow Fingertip Length
Hand Length
Hand Breadth Metacarpal
Results
Chest Depth
Elbow to Elbow Breadth
Hip Breadth Sitting
Buttock-Knee Leng Sitting
Below: My results compared to 50th percentile (Mean)
Foot Length
Foot Breadth
Reach L90°
Reach L45°
Reach 0°
*note: weight excluded due to units being in pounds, graph below shows measurements in inches only
Reach R45°
Reach R90°
7. Percentile
0
20
40
60
80
100
Stature
Eye Height
Shoulder Height
Elbow Height
Height Sitting
Eye Height Sitting
Shoulder Height Sitting
Elbow Rest Height Sitting
Knee Height Sitting
Results (cont)
Popliteal Height Sitting
Thigh Clear Height Sitting
Head Breadth
Analysis
Anthropometric
Head Circumference
Joe Jancsics | 2011.09.12 | ADS710 Advanced Human Factors
Interpupilary Distance
Elbow Fingertip Length
Hand Length
Hand Breadth Metacarpal
Chest Depth
Elbow to Elbow Breadth
Results
Hip Breadth Sitting
Buttock-Knee Leng Sitting
Foot Length
Foot Breadth
Below: My percentile across measurements collected
Weight
Reach L90°
Reach L45°
Reach 0°
Reach R45°
Reach R90°
8. Anthropometric
Analysis Discussion
Discussion
Immediately one can recognize that most of my measurements
fall within high percentile range. The most signi cant outliers
relate to measurements taken while seated, this includes the
reach measurements. This could be caused by the sample pool
having di erent seating and measurement tools or possibly these
accurately re ect my value, where my weight is high one can
make a safe assumption that this greatly impacts reach ability.
I tend to gain and lose weight easily and I would like to try this
exercise again at a lighter weight to see how much things
change. The biggest challenge when revisiting this will be ensur-
ing consistency with the measurements. On some measurements
an inch can throw a percentile score signi cantly, it creates a
prominent element of potential testing error where results can be
impacted by skill of the person measuring and the equipment
being used. We did our best e ort with the diagrams available
but have no way to verify beyond all doubt that my measure-
ments were collected to the same accuracy as the sample data.
Joe Jancsics | 2011.09.12 | ADS710 Advanced Human Factors
9. Anthropometric
Analysis Conclusion & Bibliography
Conclusion
This project provided insights to the challenges designers face
whenever dealing with creating an environment or controls
within an environment. During the time analyzing results it
started to make sense why my legs are always cramped on an
airplane and why my automobile has an adjustable steering
wheel and seat. Designers have these useful ranges to work with
but as outlined in the “Average Man” study by Gilbert S. Daniels it
is impossible to nd a one-size- ts-all solution because no single
person in their study of 4063 men fell into average range for all
measurements. If someone tried to design a non-adjustable
pilot’s seat for the 50th percentile (average) it is likely that the
95th percentile would be unable to nd sustained comfort in it,
this basic example further reinforces designing adjustable seats
to accommodate for a wide range of people. This exercise was a
good example of how to collect quantitative data and apply it to
the design process for people of various shapes and sizes.
Bibliography
"ANTHROPOMETRY AND BIOMECHANICS." Man-Systems Integration Standards (MSIS). Web. 12
Sept. 2011. <http://msis.jsc.nasa.gov/sections/section03.htm>.
Daniels, G.S. (1952). The “Average Man”? USAF Personnel Body Anthropometry, RDO No.
695-71. Wright-Patterson Air Force Base, OH: USAF.
NASA Reference Publication 1024, Anthropometric Source Book Volume II: A Handbook of
Anthropometric Data.
Kroemer KHE, Kroemer HJ, Kroemer-Elbert KE (1990) Engineering
Physiology: Bases of Human Factor/Ergonomics, Van Nostrand Reinhold,
New York.
Joe Jancsics | 2011.09.12 | ADS710 Advanced Human Factors