Quantified Self: From Self-Learning to Machine Learning
Author(s): Richa SharmaShalli Rani Abstract: Quantified self (QS) is a term that exemplifies self-knowledge through self-tracking. The exponential rise in the number and variation of wearables and applications for personal use has facilitated smart-health concepts. It...
Review of Wearable Devices and Data Collection Considerations for Connected Health
Author(s): Vini Vijayan James P. Connolly Joan Condell Nigel McKelves Philip Gardiner Abstract: Wearable sensor technology has gradually extended its usability into a wide range of well-known applications. Wearable sensors can typically assess and quantify the...
Barriers to and Facilitators of Using a One Button Tracker and Web-Based Data Analytics Tool for Personal Science: Exploratory Study
Author(s): Tom H van de Belt Aimee de Croon Faye Freriks Thomas Blomseth Christiansen Jakob Eg Larsen Martijn de Groot Abstract: Background: Individuals' self-tracking of subjectively experienced phenomena related to health can be challenging, as current options for...
A Protocol Study to Establish Psychological Outcomes From the Use of Wearables for Health and Fitness Monitoring
Author(s): Frans Folkvord Amy van Breugel Sanneke de Haan Marcella de Wolf Marjolein de Boer Mariek Vanden Abeele Abstract: Background: The last few decades people have increasingly started to use technological tools for health and activity monitoring, such as...
Remembering What Produced the Data: Individual and Social Reconstruction in the Context of a Quantified Self Elementary Data and Statistics Unit
Author(s): Victor R. Lee Joel Drake Jeffrey Thayne Ryan Cain Abstract: Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the quantified...
“Quantified (Self for) Others”: Lessons Learned from the Evaluation of a Remote Monitoring Service of the Activities of the Elderly
Author(s): Myriam FréjusJulien Guibourdenche Abstract: This paper presents the results of an evaluation of an activity monitoring system for elderly care based on household electricity usage. We show that the interest of the elderly in the service does not derive from...
“Your Screen-Time App Is Keeping Track”: Consumers Are Happy to Monitor but Unlikely to Reduce Smartphone Usage
Author(s): Laura Zimmermann Abstract: Can screen-time applications help to control smartphone usage? Maladaptive consumption in the form of smartphone overuse is a concern for many consumers. As a solution, screen-time applications were launched by the largest...
The Exposome in the Era of the Quantified Self
Author(s): Xinyue Zhang Peng Gao Michael P. Snyder Abstract: Human health is regulated by complex interactions among the genome, the microbiome, and the environment. While extensive research has been conducted on the human genome and microbiome, little is known about...
Does self-monitoring diet and physical activity behaviors using digital technology support adults with obesity or overweight to lose weight? A systematic literature review with meta-analysis
Author(s): Rhiannon BerryAikaterini KassavouStephen Sutton Abstract: Establish whether digital self-monitoring of diet and physical activity is effective at supporting weight loss, increasing physical activity and improving eating behavior in adults with obesity or...
Quantified self-technologies for better a disease management?
Author(s): Meidert, UrsulaScheermesser, Mandy Abstract: Background: Apps, fitness-trackers and other wearables have found broad acceptance in the general population. The interest in self-quantification and -optimization has strongly increased during the past few years...