To monitor adherence to diets and to design and evaluate nutritional interventions, it is
essential to obtain objective knowledge about eating behavior. In most research, measures …

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 …

As food intake patterns become less structured, different methods of dietary assessment may
be required to capture frequently omitted snacks, smaller meals, and the time of day when …

Background Self-monitoring (SM) of diet and tailored feedback (TF) have been suggested as
tools for changing dietary behavior. New technologies allow users to monitor behavior …

Objectives Overeating interventions and research often focus on single determinants and
use subjective or nonpersonalized measures. We aim to (1) identify automatically detectable …

Dietary lapses (ie, specific instances of nonadherence to recommended dietary goals)
contribute to suboptimal weight loss outcomes during lifestyle modification programs …

Objective The goal of this paper is to provide an overview of the emerging lower-burden
mobile dietary self-monitoring approaches and provide a case study highlighting the role …

The progress in artificial intelligence and machine learning algorithms over the past decade
has enabled the development of new methods for the objective measurement of eating …

Research on eating behavior is limited by an overreliance on self-report. It is well known that
actual food intake is frequently underreported, and it is likely that this problem is …

Dietary self-monitoring has been shown to be an effective method for weight-loss, but it
remains an onerous task despite recent advances in food journaling systems. Semi …