1. Intra-individual gait pattern variability in specific situations: Implications for forensic gait analysis 
Oliver Ludwig, Steffen Dillinger, Franz Marschall 
Forensic Science International 
Volume 264, Pages (July 2016)
DOI: /j.forsciint
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2. Fig. 1
Cyclogram of one gait cycle, each point represents a combination of knee and hip angle.
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3. Fig. 2
Similarities between the individual test situations for 4 test subjects (A–D). Values equal to or greater than 90% are marked in bold. Combinations highlighted in gray are explained in the text.
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4. Fig. 3
Hip-knee (left pictures) and knee-foot angle coupling (right pictures) of one test subject in all situations measured. C: initial contact (heel touches down).
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5. Fig. 4
Scheme of analysis.
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6. Fig. 5
Cyclograms of the hip-knee coupling of three test subjects (A–C).
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7. Fig. 6
Cyclograms of the hip-knee and foot-knee coupling of two test subjects (B, G).
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8. Fig. 7
Cyclograms of the hip-knee coupling of four test subjects before (shaded areas mark confidence ranges) and after fatigue (dotted lines). Asterisks mark significant differences between confidence ranges.
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9. Fig. 8
Gait as a control process within the central nervous system. In italics: disturbance variables.
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10. Fig. 9
Illustration of the problem of gait pattern analysis: at the source level, the probability that a subject generates certain gait patterns must be known. The categorization of a pattern (dotted circle) to be examined is made even more difficult by the similarities between inter- and intra-individual patterns.
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11. Forensic Science International 2016 264, 15-23DOI: (10. 1016/j
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