Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30211, first published .
Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study

Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study

Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study

Brooke Marie Bell   1, 2 , PhD ;   Ridwan Alam   3, 4 , MSc, PhD ;   Abu Sayeed Mondol   5 , MSc, PhD ;   Meiyi Ma   5, 6 , MSc, PhD ;   Ifat Afrin Emi   5 , MSc, PhD ;   Sarah Masud Preum   5, 7 , MSc, PhD ;   Kayla de la Haye   1 , PhD ;   John A Stankovic   5 , MSc, PhD ;   John Lach   4, 8 , MSc, PhD ;   Donna Spruijt-Metz   1, 9, 10 , MFA, PhD

1 Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States

2 Department of Chronic Disease Epidemiology, School of Public Health, Yale University, New Haven, CT, United States

3 Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, United States

4 Department of Electrical and Computer Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States

5 Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States

6 Department of Computer Science, School of Engineering, Vanderbilt University, Nashville, TN, United States

7 Department of Computer Science, Dartmouth College, Hanover, NH, United States

8 School of Engineering and Applied Science, The George Washington University, Washington, DC, United States

9 Center for Economic and Social Research, Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA, United States

10 Department of Psychology, Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA, United States

Corresponding Author:

  • Brooke Marie Bell, PhD
  • Department of Chronic Disease Epidemiology
  • School of Public Health
  • Yale University
  • 60 College St.
  • 8th Floor
  • New Haven, CT, 06520
  • United States
  • Phone: 1 475 235 0643
  • Email: brooke.bell@yale.edu