Burstiness of human physical activities and their characterization
Makoto Takeuchi, Yukie Sano

TL;DR
This study investigates the burstiness in human physical activities across different age groups and situations, revealing unique IET distribution characteristics and confirming burstiness in both children and adults.
Contribution
It is the first to analyze burstiness in physical activities of children aged 2-5 and links activity context to IET distribution features.
Findings
Confirmed burstiness in children and adults
Identified unique IET distribution patterns per activity situation
First analysis of burstiness in young children's physical activities
Abstract
Human behaviour is heterogeneous and temporally fluctuates. Many studies have focused on inter-event time (IET) fluctuations and have reported that the IET distributions have a long-tailed distribution, which cannot be explained by a stationary Poisson point process. Such phenomenon observed in IET distributions are known as burstiness. Burstiness has also been reported for human physical activity, but the mechanism underlying it has not been clarified. In this study, we collected human physical activity data while specifying the age of the subjects and their situations (for example, children's play and adults' housework), and we analysed their event time-series data. We confirmed the burstiness in both children and adults. For the first time, burstiness studied in physical activities of children between the ages 2 and 5. We also confirmed that the characteristics of the IET…
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Taxonomy
TopicsComplex Network Analysis Techniques · Complex Systems and Time Series Analysis · Data Visualization and Analytics
