Unravelling daily human mobility motifs

Unravelling daily human mobility motifs.

Human mobility is differentiated by time scales. While the mechanism for long time scales has been studied, the underlying mechanism on the daily scale is still unrevealed. Here, we uncover the mechanism responsible for the daily mobility patterns by analysing the temporal and spatial trajectories of thousands of persons as individual networks. Using the concept of motifs from network theory, w...

Daily and weekly patterns in human mobility

Most location-based services provide recommendations based on a user’s current location or a given route or destination. Even though there are indications that human movement is highly predictable, daily and weekly routines of individual users constitute a largely unexplored and unexploited area. In this paper, we show and discuss such patterns, based on a large dataset of GPS trajectories. In ...

Daily Mobility Patterns - Electronic Supplementary Material

Extracting Behavioral Motifs for Characterizing Human Daily Activities in Smart Environments

In view of the aging population and the growing need of assisted living, smart houses with basic sensors installed have been investigated to make 24-hour monitoring and tracking of the residents’ indoor activities of daily living possible. Based on the sensor data, healthcare professionals can carry out in-depth examination on residents’ activities of daily living for monitoring their health st...

Mining Motifs from Human Motion

Mining frequently occurring temporal motion patterns (motion motifs) is important for understanding, organizing and retrieving motion data. However, without any a priori knowledge of the motifs, such as their lengths, contents, locations and total number, it remains a challenging problem due to the enormous computational cost involved in analyzing huge motion databases. Moreover, since the same...