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