This paper is in the following e-collection/theme issue:

Digital Biomarkers and Digital Phenotyping (138) Data Science (110) New Methods (665) Machine Learning (1004) Ecological Momentary Assessment (EMA) (239) mHealth for Data Collection and Research (675)

Published on in Vol 8 , No 9 (2020) :September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17818, first published .
Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study

Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study

Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study

Authors of this article:

Madeena Sultana 1, 2 Author Orcid Image ;   Majed Al-Jefri 1, 3 Author Orcid Image ;   Joon Lee 1, 2, 4 Author Orcid Image
Article Authors Cited by (13) Tweetations (16) Metrics

Journals

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  9. Calatrava-Nicolás F, Gutiérrez-Maestro E, Bautista-Salinas D, Ortiz F, González J, Vera-Repullo J, Jiménez-Buendía M, Méndez I, Ruiz-Esteban C, Mozos O. Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities. Sensors 2021;21(20):6865 View
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