Global Foot Dimensions
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Contents
- 1 ANATOMY AND FOOT HEALTH
- 1.1 The foot
- 1.2 Foot structure
- 1.3 Muscles and ligaments
- 1.4 Skin
- 1.5 Influence of footwear on foot shape and health
- 1.6 Foot ailments
- 1.6.1 Friction
- 1.6.2 Pressure
- 2 TECHNOLOGY AND PROCEDURE
- 2.1 3D scanning technology
- 2.1.1 Short-range
- 2.1.2 Mid- and long-range
- 2.2 Foot scanner
- 2.3 Scanning process
- 2.4 Measurement calibration
- 2.5 Checking and editing
- 2.6 Manual leg measurements
- 3 UNCERTAINTY OF MEASUREMENT
- 3.1 Summary
- 3.2 What is uncertainty of measurement?
- 3.2.1 How to interpret uncertainty of measurement
- 3.2.2 What factors contribute to uncertainty?
- 3.2.2.1 Calibration uncertainty
- 3.2.2.2 Drift
- 3.2.2.3 Resolution
- 3.2.2.4 Repeatability
- 3.2.2.5 Other factors
- 3.2.2.6 Factors to exclude from uncertainty of measurement
- 3.3 Making the calculation
- 3.3.1 Probability distributions
- 3.3.1.1 Normal distribution
- 3.3.1.2 Uniform/rectangular distribution
- 3.3.1.3 Triangular distribution
- 3.4 Ways to control uncertainty
- 3.4.1 Precise calibration procedure
- 3.4.2 Controlled atmosphere
- 3.4.3 Increased resolution
- 3.4.4 Protected equipment
- 3.4.5 More frequent calibrations
- 3.5 Effects of load bearing on foot shape and size
- 3.6 Effects of white hose
- 3.7 Uncertainty budget for stick and tape measurements
- 3.7.1 Type A evaluation of stick and tape
- 3.7.2 Type B evaluation of stick and tape
- 3.7.2.1 Drift
- 3.7.2.2 Angle of arms (size stick)
- 3.7.3 Evaluation of combined uncertainty of stick and tape technique
- 3.8 Uncertainty budget for 3D scanning measurements
- 3.8.1 Type A evaluation of 3D scanning
- 3.8.2 Type B evaluation of 3D scanning
- 3.8.3 Evaluation of combined uncertainty of 3D scanning
- 4 NORMALITY TESTING AND RANDOMNESS
- 4.1 Summary
- 4.2 Normal distribution
- 4.2.1 Definitions
- 4.2.2 Formulae required to find the normal distribution curve
- 4.3 Checking for normality: Chi squared goodness of fit test
- 4.4 Skew in the distribution
- 4.4.1 Example of our figures for testing normality
- 4.5 Importance of randomness
- 4.6 Sampling theory and confidence
- 5 DEMOGRAPHICS AND DATA SPREAD
- 5.1 Data breakdown by gender, age and country
- 5.2 Data breakdown by geographical location
- 5.3 Treatment of ethnicity and foot ailments
- 5.4 Difference between left and right
- 6 DEFINITION OF MEASUREMENTS
- 6.1 Foot measurements
- 6.1.1 Foot length
- 6.1.2 Joint girth
- 6.1.3 Foot breadth
- 6.1.4 Instep girth
- 6.1.5 Heel breadth
- 6.1.6 Heel to metatarsal tibiale length
- 6.1.7 Heel to metatarsal fibulare length
- 6.1.8 Instep height
- 6.1.9 Joint height
- 6.2 Leg measurements
- 6.2.1 Calf girth at 200mm
- 6.2.2 Calf girth at 300mm
- 6.2.3 Maximum calf girth
- 6.2.4 Height of maximum calf girth
- 7 SHOE SIZE DEFINITION
- 7.1 Sizing comparison table
- 7.2 History of shoe sizing
- 7.2.1 Footwear in antiquity
- 7.2.2 Early fitting
- 7.2.3 Left and right
- 7.2.4 The first shoe size
- 7.2.5 Modern shoe size
- 7.3 UK sizing
- 7.4 US sizing
- 7.5 European sizing
- 7.6 Mondopoint sizing
- 8 FOOT SIZE DISTRIBUTION
- 8.1 Summary
- 8.2 Mondopoint sizing - UK, USA and China - size distributions
- 8.2.1 All ages
- 8.2.2 Ages 16-25
- 8.2.3 Ages 26-35
- 8.2.4 Ages 36-45
- 8.2.5 Ages 46-55
- 8.2.6 Ages 56+
- 8.3 UK sizing - UK, USA and China - size distributions
- 8.3.1 All ages
- 8.3.2 Ages 16-25
- 8.3.3 Ages 26-35
- 8.3.4 Ages 36-45
- 8.3.5 Ages 46-55
- 8.3.6 Ages 56+
- 8.4 US sizing - UK, USA and China - size distributions
- 8.4.1 All ages
- 8.4.2 Ages 16-25
- 8.4.3 Ages 26-35
- 8.4.4 Ages 36-45
- 8.4.5 Ages 46-55
- 8.4.6 Ages 56+
- 8.5 European sizing - UK, USA and China - size distributions
- 8.5.1 All ages
- 8.5.2 Ages 16-25
- 8.5.3 Ages 26-35
- 8.5.4 Ages 36-45
- 8.5.5 Ages 46-55
- 8.5.6 Ages 56+
- 9 AVERAGE FOOT DIMENSIONS
- 9.1 Summary
- 9.2 Regression statistics - UK, USA and China
- 9.2.1 All ages - male
- 9.2.2 All ages - female
- 9.3 Mondopoint sizing - UK, USA and China - average foot dimensions
- 9.3.1 All ages - male
- 9.3.2 All ages - female
- 9.3.3 Ages 16-25 - male
- 9.3.4 Ages 16-25 - female
- 9.3.5 Ages 26-35 - male
- 9.3.6 Ages 26-35 - female
- 9.3.7 Ages 36-45 - male
- 9.3.8 Ages 36-45 - female
- 9.3.9 Ages 46-55 - male
- 9.3.10 Ages 46-55 - female
- 9.3.11 Ages 56+ - male
- 9.3.12 Ages 56+ - female
- 9.4 UK sizing - UK, USA and China - average foot dimensions
- 9.4.1 All ages - male
- 9.4.2 All ages - female
- 9.4.3 Ages 16-25 - male
- 9.4.4 Ages 16-25 - female
- 9.4.5 Ages 26-35 - male
- 9.4.6 Ages 26-35 - female
- 9.4.7 Ages 36-45 - male
- 9.4.8 Ages 36-45 - female
- 9.4.9 Ages 46-55 - male
- 9.4.10 Ages 46-55 - female
- 9.4.11 Ages 56+ - male
- 9.4.12 Ages 56+ - female
- 9.5 US sizing - UK, USA and China - average foot dimensions
- 9.5.1 All ages - male
- 9.5.2 All ages - female
- 9.5.3 Ages 16-25 - male
- 9.5.4 Ages 16-25 - female
- 9.5.5 Ages 26-35 - male
- 9.5.6 Ages 26-35 - female
- 9.5.7 Ages 36-45 - male
- 9.5.8 Ages 36-45 - female
- 9.5.9 Ages 46-55 - male
- 9.5.10 Ages 46-55 - female
- 9.5.11 Ages 56+ - male
- 9.5.12 Ages 56+ - female
- 9.6 European sizing - UK, USA and China - average foot dimensions
- 9.6.1 All ages - male
- 9.6.2 All ages - female
- 9.6.3 Ages 16-25 - male
- 9.6.4 Ages 16-25 - female
- 9.6.5 Ages 26-35 - male
- 9.6.6 Ages 26-35 - female
- 9.6.7 Ages 36-45 - male
- 9.6.8 Ages 36-45 - female
- 9.6.9 Ages 46-55 - male
- 9.6.10 Ages 46-55 - female
- 9.6.11 Ages 56+ - male
- 9.6.12 Ages 56+ - female
- 9.7 Graphical - UK, USA and China - average foot dimensions
- 9.7.1 Joint girth against foot length
- 9.7.2 Foot breadth against foot length
- 9.7.3 Instep girth against foot length
- 9.7.4 Heel breadth against foot length
- 9.7.5 Heel to metatarsal tibiale against foot length
- 9.7.6 Heel to metatarsal fibulare against foot length
- 9.7.7 Joint height against foot length
- 9.7.8 Instep height against foot length
- 9.8 Average foot dimensions against increasing age
- 9.8.1 UK, USA and China - male
- 9.8.2 UK, USA and China - female
- 10 FOOT AXIS AND JOINT ANGLE
- 10.1 Summary
- 10.2 Foot axis
- 10.3 Joint angle
- 10.4 Effect of axis on joint angle
- 10.5 Effect of axis on foot length
- 11 FOOT DIMENSION RATIOS
- 11.1 Summary
- 11.2 The importance of ratios
- 11.3 Heel to metatarsal tibiale/foot length ratio
- 11.4 Heel to metatarsal fibulare/foot length ratio
- 11.5 Joint girth/foot length ratio
- 11.6 Instep girth/foot length ratio
- 11.7 Foot breadth/joint girth ratio
- 11.8 Heel breadth/foot breadth ratio
- 11.9 Discussion
- 12 WIDTH FITTING
- 12.1 UK width fitting
- 12.2 US width fitting
- 12.3 European width fitting
- 12.4 Last grading
- 12.5 Spread of foot widths
- 12.6 Population coverage by size and width fitting
- 13 WOMEN’S LOWER LEG DATA
- 13.1 Summary
- 13.2 Regression statistics
- 13.3 Mondopoint sizing - UK, USA and China - average leg dimensions
- 13.3.1 All ages
- 13.3.2 Ages 16-25
- 13.3.3 Ages 26-35
- 13.3.4 Ages 36-45
- 13.3.5 Ages 46-55
- 13.3.6 Ages 56+
- 13.4 UK sizing – UK, USA and China – average leg dimensions
- 13.4.1 All ages
- 13.4.2 Ages 16-25
- 13.4.3 Ages 26-35
- 13.4.4 Ages 36-45
- 13.4.5 Ages 46-55
- 13.4.6 Ages 56+
- 13.5 US sizing – UK, USA and China – average leg dimensions
- 13.5.1 All ages
- 13.5.2 Ages 16-25
- 13.5.3 Ages 26-35
- 13.5.4 Ages 36-45
- 13.5.5 Ages 46-55
- 13.5.6 Ages 56+
- 13.6 European sizing – UK, USA and China – average leg dimensions
- 13.6.1 All ages
- 13.6.2 Ages 16-25
- 13.6.3 Ages 26-35
- 13.6.4 Ages 36-45
- 13.6.5 Ages 46-55
- 13.6.6 Ages 56+
- 13.7 Graphical - UK, USA and China - average leg dimensions
- 13.7.1 Maximum calf girth against foot length
- 13.7.2 Maximum calf height against foot length
- 13.7.3 Calf girth at 200mm against foot length
- 13.7.4 Calf girth at 300mm against foot length
- 13.8 Average leg dimensions against age
- 14 REGRESSION FORMULA FOR FULL DATA COMPARISON
- 14.1 Summary
- 14.2 Regression formula - all ages
- 14.2.1 UK - male
- 14.2.2 UK - female
- 14.2.3 USA - male
- 14.2.4 USA - female
- 14.2.5 China - male
- 14.2.6 China - female
- 14.3 Regression formula - ages 16-25
- 14.3.1 UK - male
- 14.3.2 UK - female
- 14.3.3 USA - male
- 14.3.4 USA - female
- 14.3.5 China - male
- 14.3.6 China - female
- 14.4 Regression formula - ages 26-35
- 14.4.1 UK - male
- 14.4.2 UK - female
- 14.4.3 USA - male
- 14.4.4 USA - female
- 14.4.5 China - male
- 14.4.6 China - female
- 14.5 Regression formula - ages 36-45
- 14.5.1 UK - male
- 14.5.2 UK - female
- 14.5.3 USA - male
- 14.5.4 USA - female
- 14.5.5 China - male
- 14.5.6 China - female
- 14.6 Regression formula - ages 46-55
- 14.6.1 UK - male
- 14.6.2 UK - female
- 14.6.3 USA - male
- 14.6.4 USA - female
- 14.6.5 China - male
- 14.6.6 China - female
- 14.7 Regression formula - ages 56+
- 14.7.1 UK - male
- 14.7.2 UK - female
- 14.7.3 USA - male
- 14.7.4 USA - female
- 14.7.5 China - male
- 14.7.6 China - female
- 15 NOTATION, REGRESSION, AND OTHER MATHEMATICAL CONCEPTS
- 15.1 Mathematical notation
- 15.1.1 Decimal numbers
- 15.1.2 Mathematical operators
- 15.1.3 Common alphabet meanings
- 15.1.4 Examples
- 15.2 Standard deviation and pooled standard deviation
- 15.3 Regression
- 15.3.1 Independent and dependent variables
- 15.3.2 Least squares, method to find line of best fit
- 15.3.3 How to use the regression models given in chapter 14
- 15.4 F-Significance test model check
- 15.4.1 Introduction to checking regression models fit
- 15.5 Probability distributions
- 15.6 Stable and chaotic mathematical functions