“Automatic Ingestion Monitor Version 2” – A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images

Doulah, Abul Barkat Mollah Sayeed Ud; Ghosh, Tonmoy; Hossain, Delwar; Imtiaz, Masudul H.; Sazonov, Edward

doi:10.1109/jbhi.2020.2995473

Cited by 71 publications

(53 citation statements)

References 46 publications

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“…Adjustments on practical implementation will be necessary to take into account the utilization of new technologies [someone among several (6,13)]. The role of interviewers can be shifted to data management, as an example, moving the activity from interviewing to interacting with the data provider to check and clean.…”

Section: Discussionmentioning

confidence: 99%

“…The rationale behind the experience here described is that a community of professionals specialized in dietary data collection and management will allow for building a permanent surveillance system in the short term and may reduce costs, to arrange a training re-training system to maintain the specialization and to prepare the turnover within the community. Such a training system should be constantly updated on the technological tools for collecting food consumption data currently developed, especially, but not limited to, web-based and smartphone-based applications [as an example, see (13,14)].…”

Section: Introductionmentioning

confidence: 99%

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A Dietary Assessment Training Course Path: The Italian IV SCAI Study on Children Food Consumption

Turrini

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et al. 2021

Front. Public Health

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The eating patterns in a population can be estimated through dietary surveys in which open-ended assessment methods, such as diaries and interviews, or semi-quantitative food frequency questionnaires are administered. A harmonized dietary survey methodology, together with a standardized operational procedure, in conducting the study is crucial to ensure the comparability of the results and the accuracy of information, thus reducing uncertainty and increasing the reliability of the results. Dietary patterns (i) include several target variables (foods, energy and nutrients, other food components), (ii) require several explanatory variables (age, gender, anthropometric measurements, socio-cultural and economic characteristics, lifestyle, preferences, attitudes, beliefs, organization of food-related activities, etc.), and (iii) have impacts in several domains: imbalance diets; acute and chronic exposures affect health, specifically non-communicable diseases; and then sanitary expenditure. On the other hand, food demand has impacts on the food system: production, distribution, and food services system; food wastes and other wastes generated by food-related activities of the households (e.g., packaging disposal) have consequences on the “health of the planet” which in turn can have effects on human health. Harmonization and standardization of measurement methods and procedures in such a complex context require an ad hoc structured information system made by databases (food nomenclatures, portion sizes, food atlas, recipes) and methodological tools (quantification methods, food coding systems, assessment of nutritional status, data processing to extrapolate what we consider validated dietary data). Establishing a community of professionals specialized in dietary data management could lead to build a surveillance system for monitoring eating habits in the short term, thus reducing costs, and to arrange a training re-training system. Creating and maintaining the dietary data managers community is challenging but possible. In this context, the cooperation between the CREA Research Centre for Food and Nutrition and the Italian National Health Institute (ISS) promoted and supported by the Italian Ministry of Health may represent a model of best practice that can ensure a continuous training for the professional community carrying out a nutritional study.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Dietary Assessment Training Course Path: The Italian IV SCAI Study on Children Food Consumption

Turrini

Catasta

Censi

et al. 2021

Front. Public Health

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“…Few studies addressed user comfort and acceptability ( 34 , 48 , 51 , 56 , 60 , 66 , 78 ). Privacy concerns were raised for continuously capturing cameras ( 34 , 67 , 95 ) and air microphones ( 49 ). Neck devices ( 48 , 51 ) and earphone-like devices ( 60 ) scored modest ratings for comfort ( 48 , 96 ), whilst wrist-worn devices were readily accepted by users ( 78 , 96 ).…”

Section: Discussionmentioning

confidence: 99%

Enhancing Nutrition Care Through Real-Time, Sensor-Based Capture of Eating Occasions: A Scoping Review

et al. 2022

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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 they are consumed. Incorporating sensors that passively and objectively detect eating behavior may assist in capturing these eating occasions into dietary assessment methods. The aim of this study was to identify and collate sensor-based technologies that are feasible for dietitians to use to assist with performing dietary assessments in real-world practice settings. A scoping review was conducted using the PRISMA extension for scoping reviews (PRISMA-ScR) framework. Studies were included if they were published between January 2016 and December 2021 and evaluated the performance of sensor-based devices for identifying and recording the time of food intake. Devices from included studies were further evaluated against a set of feasibility criteria to determine whether they could potentially be used to assist dietitians in conducting dietary assessments. The feasibility criteria were, in brief, consisting of an accuracy ≥80%; tested in settings where subjects were free to choose their own foods and activities; social acceptability and comfort; a long battery life; and a relatively rapid detection of an eating episode. Fifty-four studies describing 53 unique devices and 4 device combinations worn on the wrist (n = 18), head (n = 16), neck (n = 9), and other locations (n = 14) were included. Whilst none of the devices strictly met all feasibility criteria currently, continuous refinement and testing of device software and hardware are likely given the rapidly changing nature of this emerging field. The main reasons devices failed to meet the feasibility criteria were: an insufficient or lack of reporting on battery life (91%), the use of a limited number of foods and behaviors to evaluate device performance (63%), and the device being socially unacceptable or uncomfortable to wear for long durations (46%). Until sensor-based dietary assessment tools have been designed into more inconspicuous prototypes and are able to detect most food and beverage consumption throughout the day, their use will not be feasible for dietitians in practice settings.

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“…However, sensor fusion should not come at the cost of users having to wear multiple sensors resulting in increased sensor burden. Rather, a multi-sensor sensor system may be packaged in socially acceptable accessories such as wrist watches [117], eyeglasses [118], and other wear items. Overall, the future goal should be to achieve an accurate, objective portion size measurement applicable to the wide variety of foods and beverages consumed by people of different demographic and sociocultural characteristics under the great variety of conditions, environments, and ways to consume food.…”

Section: Open Problems and Future Directionsmentioning

confidence: 99%

A Systematic Review of Sensor-Based Methodologies for Food Portion Size Estimation

Raju

Sazonov

2021

IEEE Sensors J.

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Food portion size estimation (FPSE) is critical in dietary assessment and energy intake estimation. Traditional methods such as visual estimation are now replaced by faster, more accurate sensor-based methods. This paper presents a comprehensive review of the use of sensor methodologies for portion size estimation. The review was conducted using the PRISMA guidelines and full texts of 67 scientific articles were reviewed. The contributions of this paper are threefold: i) A taxonomy for sensor-based (SB) FPSE methods was identified, classifying the sensors (as wearable, portable and stationary) and the methodology (as direct and indirect). ii) A novel comprehensive review of the state-of-theart SB-FPSE methods was conducted and 5 sensor modalities (Acoustic, Strain, Imaging, Weighing, and Motion sensors) were identified. iii) The accuracy of portion size estimation and the applicability to free-living conditions of these SB-FPSE methods were assessed. This article concludes with a discussion of challenges and future trends of SB-FPSE.

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“Automatic Ingestion Monitor Version 2” – A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images

Cited by 71 publications

References 46 publications

A Dietary Assessment Training Course Path: The Italian IV SCAI Study on Children Food Consumption

A Dietary Assessment Training Course Path: The Italian IV SCAI Study on Children Food Consumption

Enhancing Nutrition Care Through Real-Time, Sensor-Based Capture of Eating Occasions: A Scoping Review

A Systematic Review of Sensor-Based Methodologies for Food Portion Size Estimation

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