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

Machine Learning (47) Artificial Intelligence (1186) Wearable Devices and Sensors (18) mHealth for Data Collection and Research (907) Machine Learning (1370) Anxiety and Stress Disorders (999) Users' and Patients' Needs for Mental Health Services (378)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52171, first published .
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study

A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study

A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study

Authors of this article:

Joe Li1 Author Orcid Image ;   Peter Washington1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Joe Li   1 ;   Peter Washington   1 , PhD

1 Information and Computer Sciences, University of Hawai`i at Mānoa, Honolulu, HI, United States

Corresponding Author:

  • Peter Washington, PhD
  • Information and Computer Sciences
  • University of Hawai`i at Mānoa
  • 1680 East-West Road, Room 312
  • Honolulu, HI, 96822
  • United States
  • Phone: 1 000000000
  • Email: pyw@hawaii.edu