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Kinematic Models of Subjective Complexity in Handwritten Signatures Cover

Kinematic Models of Subjective Complexity in Handwritten Signatures

Open Access
|Dec 2017

Figures & Tables

Figure 1

Examples of a text-based (top), stylized (middle), and mixed style (bottom) signature.

Table 1

List of stroke features extracted from MovAlyzeR and their definitions1

VariableDefinition
Absolute SizeAbsolute size of a vertical stroke in cm, calculated from the vertical and horizontal sizes
Average Absolute VelocityAverage (amplitude/time) absolute vertical velocity for a single stroke, in cm/second
Average Normalized JerkA measure of handwriting smoothness across all strokes, normalized for stroke duration and length
Average Pen PressureAverage of pen pressure values over a stroke (ranging from 0–2047 units)
Stroke DurationTime interval in seconds for a single vertical stroke, identified as movement occurring between two successive x-axis zero-velocity crossings (i.e. at the point of a change in stroke direction).
Horizontal SizeHorizontal vector difference between the beginning and end of a stroke, in cm
Loop SurfaceArea of the loop enclosed by the previous and present stroke, in cm2
Number Peak Acceleration PointsA measure of handwriting smoothness measured at the stroke level defined as the number of acceleration inversions (i.e. changes in direction)
Number of StrokesSegmentation by absolute velocity minima, similar to number of turning points
Peak Vertical AccelerationInstantaneous vertical acceleration, in cm/sec/sec
Peak Vertical VelocityInstantaneous vertical velocity, in cm/sec
Road Length/Trace LengthLength of segment in cm from beginning to end
SlantStroke angle and its direction (see Stroke Duration for definition of segment) in radians
Straightness ErrorNormalized standard deviation of the stroke trajectory from a straight line
Table 2

Mean and standard deviation for each kinematic variable and complexity score, separated by style.

Stylized (n = 34)Mixed (n = 44)Text-Based (n = 30)
Variable (Mean)Stroke DirectionMeanSDMeanSDMeanSD
Duration, secDown0.130.040.140.030.140.02
Up0.150.040.170.050.170.03
Peak Vertical Velocity, cm/sDown–7.993.84–6.533.03–4.731.74
Up7.543.976.212.934.451.52
Peak Vertical Acceleration, cm/sec/secDown–209.00135.49–93.46452.53–107.9844.91
Up190.42113.62185.16390.9695.2940.03
Horizontal Size, cmDown–0.390.56–0.160.32–0.070.11
Up0.940.760.530.320.300.13
Straightness ErrorDown0.030.020.040.020.040.02
Up0.030.020.040.020.050.02
Slant, radiansDown–1.780.41–1.740.37–1.720.29
Up0.770.330.850.300.870.24
Loop SurfaceDown0.000.190.020.060.010.01
Up0.000.10–0.020.030.000.01
Absolute Vertical SizeDown1.060.550.740.370.450.13
Up1.320.700.890.480.540.11
Average Absolute VelocityDown8.534.355.992.743.651.10
Up9.535.126.242.933.840.99
Roadlength/Trace LengthDown1.210.650.920.490.550.16
Up1.540.841.120.710.700.17
Average Normalized JerkDown23.2233.5452.5197.4054.1275.89
Up23.6033.9053.6999.8352.8471.20
Number of Acceleration Peaks/StrokeDown1.340.451.390.381.320.22
Up1.560.381.760.651.680.33
Total number strokesBoth32.9712.9352.8420.5081.8421.11
Mean Pen PressureDown553.02161.28535.28106.58499.72100.72
Up521.55172.03485.64118.21448.1694.54
Complexity Score3.141.063.540.904.190.60
Table 3

Formulas and results from multiple regression analysis for 30 text-based, 44 mixed, and 34 stylized signatures. Shown are kinematic variables reaching statistical significance as independent predictors of complexity perception.

Signature StyleKinematic ModelANOVAR2
StylizedComplexity = 0.16 – (0.802*Horizontal Size Down) + (0.1217*Peak Vertical Velocity Up) – (0.0824*Average Absolute Velocity Up) + (0.0769*Total Strokes)F(4,29) = 23.37; p < 0.00010.76
MixedComplexity = –1.75 + (0.14*Peak Vertical Velocity Down) – (0.00052*Peak Vertical Acceleration Down) – (0.8557*Slant Down) + (15.75*Straightness Error Up) + (1.4835*Slant Up) + (0.246*Average Absolute Velocity Up) – (0.638*Road length Up) + (0.0363*Total Strokes)F(8,35) = 16.54; p < 0.00010.79
Text-BasedComplexity = 3.71 – (13.371 * Duration Down) + (1.4511*Road length Up) + (0.0164*Total Strokes)F(3,26) = 21.18; p < 0.00010.71
Figure 2

Scatterplot showing relationship between the composite kinematic scores (x-axis) and FDE perception of signature complexity (Y-axis) with line of best fit for text-based signatures.

Figure 3

Scatterplot showing relationship between the composite kinematic scores (x-axis) and FDE perception of signature complexity (Y-axis) with line of best fit for stylized signatures.

Figure 4

Scatterplot showing relationship between the composite kinematic scores (x-axis) and FDE perception of signature complexity (Y-axis) with line of best fit for mixed style signatures.

DOI: https://doi.org/10.69525/jasqde.239 | Journal eISSN: 1524-7287
Language: English
Page range: 3 - 10
Published on: Dec 1, 2017
Published by: American Society of Questioned Document Examiners
In partnership with: Paradigm Publishing Services

© 2017 Miriam Angel, Michael P. Caligiuri, Melvin Cavanaugh, published by American Society of Questioned Document Examiners
This work is licensed under the Creative Commons Attribution 4.0 License.