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, US

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

3 Research Laboratory of Electronics, Massachusetts Institute of Technology , Cambridge, MA, US

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

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

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

7 Department of Computer Science, Dartmouth College , Hanover, NH, US

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

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

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

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
  • US
  • Phone: 1 475 235 0643
  • Email: brooke.bell@yale.edu