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

Methods and New Tools in Mental Health Research (425) mHealth for Data Collection and Research (915) mHealth for Wellness, Behavior Change and Prevention (2746) Depression and Mood Disorders; Suicide Prevention (1283) Wearable Devices and Sensors (822) Fitness Trackers and Smart Pedometers/Accelerometers (542) Special Issue on Computing and Mental Health (2018) (33)

Published on in Vol 5, No 3 (2018): Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10153, first published .
Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study

Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study

Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study

Authors of this article:

Juan Carlos Quiroz1, 2 Author Orcid Image ;   Elena Geangu3 Author Orcid Image ;   Min Hooi Yong4 Author Orcid Image
Article Authors Cited by (58) Tweetations (27) Metrics

Juan Carlos Quiroz   1, 2 , PhD ;   Elena Geangu   3 , PhD ;   Min Hooi Yong   4 , PhD

1 Department of Computer Science and Engineering, University of Nevada, Reno, NV, United States

2 Australian Institute of Health Innovation, Macquarie University, NSW, Australia

3 Department of Psychology, University of York, York, United Kingdom

4 Department of Psychology, Sunway University, Bandar Sunway, Malaysia

Corresponding Author:

  • Min Hooi Yong, PhD
  • Department of Psychology
  • Sunway University
  • 5 Jalan Universiti
  • Bandar Sunway, 47500
  • Malaysia
  • Phone: 60 374918622
  • Fax: 60 356358633
  • Email: mhyong@sunway.edu.my