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Figure S1. Participant flowchart showing the number of subjects that completed each of the assessments. Figure S2A. Boxplot showing the distributions of PennZzz parameters. X‐axis indicates the parameters and Y‐axis indicates the values corresponding to the parameters. Figure S2B. Intercorrelations among PennZzz parameters and rest‐activity measures from nparACT. Darker shades of blue indicate stronger positive correlation, whereas darker shades of brown indicate higher negative correlation between two variables. Figure S3A. Boxplot showing the distributions of ChronoSapiens parameters. X‐axis indicates the parameters and Y‐axis indicates the values corresponding to the parameters. Figure S3B. Intercorrelations among ChronoSapiens parameters and rest‐activity measures from nparACT. Darker shades of blue indicate stronger positive correlation, whereas darker shades of brown indicate higher negative correlation between two variables. Figure S4. Boxplot showing the distributions of rest‐activity measures from nparACT. X‐axis indicates the parameters and Y‐axis indicates the values corresponding to the parameters. Figure S5A. Distribution of PennZzz parameters in MZ (red) and DZ (blue) twins. Figure S5B. Distribution of ChronoSapiens parameters in MZ (red) and DZ (blue) twins. Figure S5C. Distribution of rest‐activity parameters from nparACT in MZ (red) and DZ (blue) twins. Figure S6. Heritability of PennZzz‐detected traits computed in SOLAR by using covariates age and body mass index. Figure S7. Heritability of ChronoSapiens‐detected traits computed in SOLAR by using covariates age and body mass index. Figure S8. Heritability of rest‐activity measures from nparACT computed in SOLAR by using covariates age and body mass index. Figure S9. Heritability of FitBit traits computed in SOLAR by using covariates age and body mass index.