Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review.

ABSTRACT: Dietary intake, eating behaviors, and context are important in chronic disease development, yet our ability to accurately assess these in research settings can be limited by biased traditional self-reporting tools. Objective measurement tools, specifically, wearable sensors, present the opportunity to minimize the major limitations of self-reported eating measures by generating supplementary sensor data that can improve the validity of self-report data in naturalistic settings. This scoping review summarizes the current use of wearable devices/sensors that automatically detect eating-related activity in naturalistic research settings. Five databases were searched in December 2019, and 618 records were retrieved from the literature search. This scoping review included N = 40 studies

SUBMITTER: Bell BM 

PROVIDER: S-EPMC7069988 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature