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Related papers: Automated Chronotyping from a Daily Calendar using…

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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

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

Human activities follow daily, weekly, and seasonal rhythms. The emergence of these rhythms is related to physiology and natural cycles as well as social constructs. The human body and biological functions undergo near 24-hour rhythms…

Computers and Society · Computer Science 2020-09-22 Talayeh Aledavood , Ilkka Kivimäki , Sune Lehmann , Jari Saramäki

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

Aging is a highly complex and heterogeneous process that progresses at different rates across individuals, making biological age (BA) a more accurate indicator of physiological decline than chronological age. While previous studies have…

Genomics · Quantitative Biology 2025-10-24 Huifa Li , Feilong Tang , Haochen Xue , Yulong Li , Xinlin Zhuang , Bin Zhang , Eran Segal , Imran Razzak

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

Background: We propose a method for estimating the timing of in-bed intervals using objective data in a large representative U.S. sample, and quantify the association between these intervals and age, sex, and day of the week. Methods: The…

In this work we investigate intra-day patterns of activity on a population of 7,261 users of mobile health wearable devices and apps. We show that: (1) using intra-day step and sleep data recorded from passive trackers significantly…

Machine Learning · Statistics 2016-12-06 Tom Quisel , David C. Kale , Luca Foschini

Continuous stress forecasting could potentially contribute to lifestyle interventions. This paper presents a novel, explainable, and individualized approach for stress prediction using physiological data from consumer-grade smartwatches. We…

Machine Learning · Computer Science 2026-02-24 Xueyi Wang , Claudine J. C. Lamoth , Elisabeth Wilhelm

Depression has been a leading cause of mental-health illnesses across the world. While the loss of lives due to unmanaged depression is a subject of attention, so is the lack of diagnostic tests and subjectivity involved. Using behavioural…

Artificial Intelligence · Computer Science 2020-10-07 Shivani Shimpi , Shyam Thombre , Snehal Reddy , Ritik Sharma , Srijan Singh

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

Users can easily export personal data from devices (e.g., weather station and fitness tracker) and services (e.g., screentime tracker and commits on GitHub) they use but struggle to gain valuable insights. To tackle this problem, we present…

Human-Computer Interaction · Computer Science 2022-02-09 Christian Reiser

The advent of mobile health technologies presents new challenges that existing visualizations, interactive tools, and algorithms are not yet designed to support. In dealing with uncertainty in sensor data and high-dimensional physiological…

Human-Computer Interaction · Computer Science 2016-09-28 Peter J Polack , Shang-Tse Chen , Minsuk Kahng , Kaya de Barbaro , Moushumi Sharmin , Rahul Basole , Duen Horng Chau

Accurate and computationally efficient means for classifying human activities have been the subject of extensive research efforts. Most current research focuses on extracting complex features to achieve high classification accuracy. We…

Artificial Intelligence · Computer Science 2015-12-22 Skyler Seto , Wenyu Zhang , Yichen Zhou

As automation and mobile robotics reshape work environments, rising expectations for productivity increase cognitive demands on human operators, leading to potential stress and cognitive overload. Accurately assessing an operator's mental…

Robotics · Computer Science 2025-04-10 Till Aust , Julian Kaduk , Heiko Hamann

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…

Background: Adolescents are particularly vulnerable to mental disorders, with over 75% of cases manifesting before the age of 25. Research indicates that only 18 to 34% of young people experiencing high levels of depression or anxiety…

In high-pressure environments where human individuals must simultaneously monitor multiple entities, communicate effectively, and maintain intense focus, the perception of time becomes a critical factor influencing performance and…

Human-Computer Interaction · Computer Science 2024-10-27 Till Aust , Eirini Balta , Argiro Vatakis , Heiko Hamann

Digital phenotyping enables continuous passive monitoring of behavior and physiology, offering a promising paradigm for early detection of psychotic relapse. In this work, we develop and systematically study two smartwatch-based frameworks…

Machine Learning · Computer Science 2026-05-14 Nikolaos Tsalkitzis , Panagiotis P. Filntisis , Petros Maragos , Niki Efthymiou

The electronic calendar is a valuable resource nowadays for managing our daily life appointments or schedules, also known as events, ranging from professional to highly personal. Researchers have studied various types of calendar events to…

Computers and Society · Computer Science 2019-09-12 Iqbal H. Sarker , Alan Colman , Jun Han , A. S. M. Kayes , Paul Watters
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