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Timings of human activities are marked by circadian clocks which in turn are entrained to different environmental signals. In an urban environment the presence of artificial lighting and various social cues tend to disrupt the natural…

Physics and Society · Physics 2018-02-07 Daniel Monsivais , Asim Ghosh , Kunal Bhattacharya , Robin I. M Dunbar , Kimmo Kaski

Human activity follows an approximately 24-hour day-night cycle, but there is significant individual variation in awake and sleep times. Individuals with circadian rhythms at the extremes can be categorized into two chronotypes: "larks",…

Physics and Society · Physics 2017-09-21 Talayeh Aledavood , Sune Lehmann , Jari Saramäki

Circadian rhythms are known to be important drivers of human activity and the recent availability of electronic records of human behaviour has provided fine-grained data of temporal patterns of activity on a large scale. Further,…

Humans follow circadian rhythms, visible in their activity levels as well as physiological and psychological factors. Such rhythms are also visible in electronic communication records, where the aggregated activity levels of e.g. mobile…

Cellular phones are now offering an ubiquitous means for scientists to observe life: how people act, move and respond to external influences. They can be utilized as measurement devices of individual persons and for groups of people of the…

Physics and Society · Physics 2015-06-12 Shao-Meng Qin , Hannu Verkasalo , Mikael Mohtaschemi , Tuomo Hartonen , Mikko Alava

Chronotypes allow for comparisons of one individual's daily rhythms to that of others and the environment. Mismatch between an individual's chronotype and the timing constraints of their social environment create social jet lag, which is…

Other Quantitative Biology · Quantitative Biology 2025-03-03 Sourabh Gapate , Royan Kamyar , Benjamin Smarr

Chronotype compares individuals' circadian phase to others. It contextualizes mental health risk assessments and detection of social jet lag, which can hamper mental health and cognitive performance. Existing ways of determining…

Other Quantitative Biology · Quantitative Biology 2024-09-10 Pratiik Kaushik , Koorosh Askari , Saksham Gupta , Rahul Mohan , Kris Skrinak , Royan Kamyar , Benjamin Smarr

In this study, Call Detail Records (CDR), covering Budapest, Hungary has been processed to analyze the circadian rhythm of the subscribers. An indicator, called wake-up time, is introduced to describe a behavior of a group of subscribers.…

Social and Information Networks · Computer Science 2022-03-01 Gergő Pintér , Imre Felde

Humans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at night and are active through the day. Because we have evolved to function with this cycle, the circadian rhythm is deeply ingrained and even…

Physics and Society · Physics 2015-08-03 Talayeh Aledavood , Sune Lehmann , Jari Saramäki

A day in the life of a person involves a broad range of activities which are common across many people. Going beyond diurnal cycles, a central question is: to what extent do individuals act according to patterns shared across an entire…

Social and Information Networks · Computer Science 2018-01-25 Anders Mollgaard , Sune Lehmann , Joachim Mathiesen

Daily life is structured by recurring routines that coordinate biological rhythms with social and occupational demands. Individual differences in work schedules, family obligations, and social commitments produce distinctive ways of…

Human-Computer Interaction · Computer Science 2026-04-28 Nguyen Luong , Talayeh Aledavood

Circadian rhythms synchronize a variety of physiological processes ranging from neural activity and hormone secretion to sleep cycles and feeding habits. Despite significant diurnal variation, time-of-day (TOD) is rarely recorded or…

This work presents, the classification of user activities such as Rest, Walk and Run, on the basis of frequency component present in the acceleration data in a wireless sensor network environment. As the frequencies of the above mentioned…

Neural and Evolutionary Computing · Computer Science 2011-07-25 Annapurna Sharma , Amit Purwar , Young-Dong Lee Young-Sook Lee Wan-Young Chung

Circadian rhythms are the cycles of our internal clock that play a key role in governing when we sleep and when we are active. A related concept is chronotype, which is a person's natural tendency toward activity at certain times of day and…

Computers and Society · Computer Science 2021-03-03 Albina Zavgorodniaia , Raj Shrestha , Juho Leinonen , Arto Hellas , John Edwards

Non-invasive mobile wearables like fitness trackers, smartwatches and rings allow for an easier and relatively less expensive approach to study everyday human behaviour when compared to traditional longitudinal methods. Here we have…

Computers and Society · Computer Science 2025-03-04 Chandreyee Roy , Kunal Bhattacharya , Kimmo Kaski

Traditional population estimation techniques often fail to capture the dynamic fluctuations inherent in urban and rural population movements. Recognizing the need for a high spatiotemporal dynamic population dataset, we propose a method…

Social and Information Networks · Computer Science 2025-09-09 Huan Ning , Zhenlong Li , Manzhu Yu , Shiyan Zhang , Shan Qiao

Human physical motion activity identification has many potential applications in various fields, such as medical diagnosis, military sensing, sports analysis, and human-computer security interaction. With the recent advances in smartphones…

Human-Computer Interaction · Computer Science 2022-01-24 Abdulrahman Alruban , Hind Alobaidi , Nathan Clarke' Fudong Li

Circadian rhythm is the natural biological cycle manifested in human daily routines. A regular and stable rhythm is found to be correlated with good physical and mental health. With the wide adoption of mobile and wearable technology, many…

Human-Computer Interaction · Computer Science 2021-07-12 Congyu Wu , Megan McMahon , Hagen Fritz , David M. Schnyer

Activities, such as walking and sitting, are commonly used in biomedical settings either as an outcome or covariate of interest. Researchers have traditionally relied on surveys to quantify activity levels of subjects in both research and…

Human-Computer Interaction · Computer Science 2019-04-01 Emily Huang , Jukka-Pekka Onnela

Mobile apps and wearable devices accurately and continuously measure human activity; patterns within this data can provide a wealth of information applicable to fields such as transportation and health. Despite the potential utility of this…

Methodology · Statistics 2024-09-16 Martha Barnard , Yingling Fan , Julian Wolfson
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