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The interpretation and characterization of universal scaling laws in human mobility and activity are subjects of active research. For the better understanding, instead of the statistical approach we have examined the temporal patterns of human daily motion using location data. The trajectories were measured continuously and with even sampling (1 measurement per minute), using GPS and Wi-Fi/mobile Internet signals of the participant’s smartphone, we have analyzed the few-week-long signals of displacements between two subsequent samplings in frequency domain. Our results had shown that 1/[Formula: see text] type noise is observable over the frequency of the daily rhythm of motion and its harmonics. We point out several technical questions about the measurement and data processing required for further detailed analysis. Furthermore, our new observation could help in the investigation of the underlying dynamics of human motion and opens several theoretical questions about the relationship between the spatial and temporal universality.

Spectral Analysis of Fluctuations in Humans’ Daily Motion Using Location Data