QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform

QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform

Smartphones and wearable sensors have enabled unprecedented data collection, with many products now providing feedback to users about recommended step counts or sleep durations. However, these recommendations do not provide personalized insights that have been shown to be best suited for a specific...

Full description

Bibliographic Details
Main Authors:	Sara Taylor, Akane Sano, Craig Ferguson, Akshay Mohan, Rosalind W. Picard
Format:	Article
Language:	English
Published:	MDPI AG 2018-04-01
Series:	Sensors
Subjects:	single-case experimental design mobile health wearable sensors self-experiment self-tracking
Online Access:	http://www.mdpi.com/1424-8220/18/4/1097

Similar Items

QuantifyMe: An Automated Single-Case Experimental Design Platform
by: Sano, Akane, et al.
Published: (2021)

QuantifyMe: An Automated Single-Case Experimental Design Platform
by: Sano, Akane, et al.
Published: (2021)

QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform
by: Taylor, Sara Ann, et al.
Published: (2018)

Examining Participant Adherence with Wearables in an In-the-Wild Setting
by: Hannah R. Nolasco, et al.
Published: (2023-07-01)

The Time of the Smartwatch: Taking Care or Wasting Time?
by: Letizia Zampino
Published: (2023-12-01)

Validity of Two Consumer Multisport Activity Tracker and One Accelerometer against Polysomnography for Measuring Sleep Parameters and Vital Data in a Laboratory Setting in Sleep Patients
by: Mario Budig, et al.
Published: (2022-12-01)

Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar
by: Luis Fernandez-Luque, et al.
Published: (2017-04-01)

Making Wearables in Aid: Digital Bodies, Data and Gifts
by: Kristin Bergtora Sandvik
Published: (2020-02-01)

Determinants Influencing the Adoption of New Information Technology Supporting Healthy Life Style: The Example of Wearable Self-Tracking Devices
by: Stanislava Grosová, et al.
Published: (2022-03-01)

Regaining control – the “quantified self” movement and the creation of the postmodern human
by: Oana-Ruxandra Constantin
Published: (2019-12-01)

Automated Online Experiment-Driven Adaptation–Mechanics and Cost Aspects
by: Ilias Gerostathopoulos, et al.
Published: (2021-01-01)

“There is a better you in you”: Promises and Ideologies of Self-Tracking Technologies
by: Max Dorfmann, et al.
Published: (2023-08-01)

Integrating Social Scientific Perspectives on the Quantified Employee Self
by: Thomas Calvard
Published: (2019-09-01)

The other self in free fall: Anxiety and automated tracking applications
by: Gutierrez Christopher
Published: (2016-01-01)

Agreement of Sleep Measures—A Comparison between a Sleep Diary and Three Consumer Wearable Devices
by: Kristina Klier, et al.
Published: (2022-08-01)

L’amélioration de soi en régime numérique : les ambiguïtés du Quantified Self, entre discours et pratiques
by: Julien Onno
Published: (2022-12-01)

Quantified Soccer Using Positional Data: A Case Study
by: Svein A. Pettersen, et al.
Published: (2018-07-01)

Self-Tracker - Praktiken der Selbstvermessung in digitalen Vernetzungskulturen
by: Reichert, Ramón
Published: (2016-09-01)

The device, the self and the other: A review of the self-tracking culture
by: Denis Iorga
Published: (2019-06-01)

“I” and “Me”: The Self in the Context of Consciousness
by: Mateusz Woźniak
Published: (2018-09-01)

If you really know me would you still like me? /
by: 222243 Kennedy, Eugene
Published: (1975)

Examining the links between self-tracking and perfectionism dimensions
by: Robert Körner, et al.
Published: (2023-04-01)

Tracking, Analysis and Sonification of Movement and Breathing for Supporting Physical Activity in Chronic Pain Using The Go-with-the-flow Framework
by: Aneesha Singh
Published: (2015-10-01)

Assessing Heart Rate Using Consumer Technology Association Standards
by: Joel D. Reece, et al.
Published: (2021-06-01)

Highly Compressible Elastic Aerogel Spring-Based Piezoionic Self-Powering Pressure Sensor for Multifunctional Wearable Electronics
by: Ning Wei, et al.
Published: (2022-07-01)

Algorithmic Self-Tracking for Health: User Perspectives on Risk Awareness and Coping Strategies
by: Noemi Festic, et al.
Published: (2021-11-01)

Self-powered wearable electronics
by: Puchuan Tan, et al.
Published: (2020-01-01)

Die digitale Selbstvermessung in Lifestyle und Medizin
by: Mandy Scheermesser, et al.
Published: (2011-12-01)

Mussel-inspired resilient hydrogels with strong skin adhesion and high-sensitivity for wearable device
by: Stalin Kondaveeti, et al.
Published: (2024-03-01)

A smart mechanical‐energy harvesting and self‐heating textile device for photo‐thermal energy utilization
by: Hui Wang, et al.
Published: (2023-05-01)

Self-Reporting Technique-Based Clinical-Trial Service Platform for Real-Time Arrhythmia Detection
by: Heejin Kim, et al.
Published: (2022-04-01)

Hierarchy and dynamics of self-referential processing: The non-personal Me1 and the personal Me2 elicited via single words
by: Peter Walla, et al.
Published: (2015-12-01)

Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables
by: Stavros Asimakopoulos, et al.
Published: (2017-01-01)

Vehicle Detection with Self-Training for Adaptative Video Processing Embedded Platform
by: Sebastian Cygert, et al.
Published: (2020-08-01)

Effects of Self-Esteem on Self-Viewing: An Eye-Tracking Investigation on Mirror Gazing
by: Jonas Potthoff, et al.
Published: (2021-11-01)

Effects of self-help mindfulness-based psychoeducational program for caregiver wellbeing of disabled elderly
by: S. Ramasamy, Mohan
Published: (2019)

Self Me: Interpretation of Self-Injury in the Context of Healing
by: Hanna Medita, et al.
Published: (2021-12-01)

Nowe szaty healthismu. Self-tracking, neoliberalizm i kapitalizm kognitywny
by: Michał Wróblewski
Published: (2016-08-01)

Glad to be me : building self-esteem in yourself and others/
by: Elkins, Dov Peretz
Published: (1976)

A Compact and Efficient Boost Converter in a 28 nm CMOS with 90 mV Self-Startup and Maximum Output Voltage Tracking ZCS for Thermoelectric Energy Harvesting
by: Muhammad Ali, et al.
Published: (2023-07-01)