Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Infant and toddler teachers perspectives on interconnections between relationships and professional well-being during the COVID-19 pandemic.

Journal of early childhood research : ECR·2026
Same author

The Rewards and Stresses of Teaching for Infant and Toddler Educators.

Early childhood education journal·2026
Same author

Detection of Posttraumatic Stress Disorder With Rest-Activity Data: Machine Learning Approach Using Wearable and Self-Report Data.

JMIR formative research·2026
Same author

Examining distinctions between polyregulation and single-strategy emotion regulation.

Emotion (Washington, D.C.)·2026
Same author

Increasing Parental Well-Being After the Neonatal Intensive Care Unit Through Relational Savoring.

Family process·2026
Same author

Mothers' responses to relational savoring as a function of attachment: A qualitative study.

Infant mental health journal·2026

Related Experiment Video

Updated: Aug 6, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.3K

Objective Prediction of Next-Day's Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development

Salar Jafarlou1, Jocelyn Lai2, Iman Azimi1,3

  • 1Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States.

JMIR Formative Research
|March 15, 2023
PubMed
Summary

This study shows that wearable sensors can accurately predict positive and negative affect using machine learning. Sleep and activity data are key predictors for mood forecasting.

Failed At:

2026-06-19T13:40:01.097182+00:00

Keywords:
affective computingmental healthwearable devices

More Related Videos

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

2.9K
Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
10:16

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Published on: April 7, 2020

8.6K

Related Experiment Videos

Last Updated: Aug 6, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.3K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

2.9K
Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
10:16

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Published on: April 7, 2020

8.6K