On The Sampling Frequency of Human Mobility

Abstract : Recent studies have leveraged tracking techniques based on positioning technologies to discover new knowledge about human mobility. These investigations have revealed, among others, a high spatiotemporal regularity of individual movement patterns. Building on these findings, we aim at answering the question “at what frequency should one sample individual human movements so that they can be reconstructed from the collected samples with minimum loss of information?”. Our quest for a response leads to the discovery of (i) seemingly universal spectral properties of human mobility, and (ii) a linear scaling law of the localization error with respect to the sampling interval. Our findings are based on the analysis of fine-grained GPS trajectories of 119 users worldwide. The applications of our findings are related to a number of fields relevant to ubiquitous computing, such as energy-efficient mobile computing, location-based service operations, active probing of subscribers’ positions in mobile networks and trajectory data compression.
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Submitted on : Friday, February 17, 2017 - 1:31:27 PM
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Panagiota Katsikouli, Aline Carneiro Viana, Marco Fiore, Alberto Tarable. On The Sampling Frequency of Human Mobility. [Technical Report] RT-0487, Inria. 2017, pp.19. ⟨hal-01470393⟩

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