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Fig 1.

Computational steps from video sequence to identification of a movement synchrony interval.

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Table 1.

Overview of applied parameter setting.

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Fig 2.

Different amounts of smoothing applied to motion energy time series (METS).

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Fig 3.

Different transformations and their impact on the distribution of motion energy values assessed with MEA.

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Fig 4.

Examples of the three different conditions with an MSI (A) and a no MSI (B) using two time series (patient and therapist movements).

Artificial synchrony (upper plot), naturally isolated synchrony (middle), naturally embedded synchrony (lower plot). Gray boxes indicate human rated MSI or no MSI; dashed vertical lines indicate the area investigated by the algorithms.

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Table 2.

Cross table of the variables method, bandwidth, transformation, smoothing, and R2 cut-off value (artificial condition) and identification rate (IR) in synchronization intervals.

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Table 3.

Results of the ordinal logistic regression with IR (kappaor pr_out) as criterion and parameters as predictors (artificial condition).

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Table 4.

Results of the ordinal logistic regression with IR (kappa) as criterion and parameters as predictors (naturally isolated condition).

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Table 5.

Cohen’s kappa (MSI) and over-identified frames pr_out (no MSI) of the two best configurations of the artificial and naturally isolated conditions and the best configurations of the artificial condition for all three time series types.

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Fig 5.

Time series (patient and therapist movements) of the naturally isolated condition.

Solid horizontal lines indicate the computer-based synchrony interval (WCLC, bandwidth 125, R2 > 0.25); dashed horizontal lines indicate the human-rated synchrony interval of the video sequence. (A) Time series of human-rated synchronization interval with different peak heights, (B) logarithmically transformed time series shown in A, (C) slightly smoothed and not transformed time series shown in A, (D) time series of human-rated synchronization intervals with similar peak heights, (E) logarithmically transformed time series shown in D, (F) slightly smoothed and not transformed time series shown in D.

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Fig 6.

Time series (patient and therapist movements) of the naturally embedded condition.

Solid horizontal lines indicate the computer-based synchrony interval (WCLC, bandwidth 125, R2 > 0.25), dashed horizontal lines indicate the human-rated synchrony interval of the video sequence. (A) Time series of the human-rated synchrony phenomenon, (B) logarithmically transformed time series shown in A, (C) slightly smoothed and not transformed time series shown in A.

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