Wearable Devices for Caloric Intake Assessment: State of Art and Future Developments

Overview

Journal Open Nurs J

Publisher Bentham Open

Specialty Nursing

Date 2017 Dec 15

PMID 29238426

Citations 5

Authors

Maria Laura Magrini

Clara Minto

Francesca Lazzarini

Matteo Martinato

Dario Gregori

Affiliations

Soon will be listed here.

Abstract

Background: The self-monitoring of caloric intake is becoming necessary as the number of pathologies related to eating increases. New wearable devices may help people to automatically record energy assumed in their meals.

Objective: The present review collects the released articles about wearable devices or method for automatic caloric assessments.

Method: A literature research has been performed with PubMed, Google Scholar, Scopus and ClinicalTrials.gov search engines, considering released articles regarding applications of wearable devices in eating environment, from 2005 onwards.

Results: Several tools allow caloric assessment and food registration: wearable devices counting the number of bites ingested by the user, instruments detecting swallows and chewings, methods that analyse food with digital photography. All of them still require more validation and improvement.

Conclusion: Automatic recording of caloric intake through wearable devices is a promising method to monitor body weight and eating habits in clinical and non-clinical settings, and the research is still going on.

Citing Articles

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Burst-pause criterion derivation for drinkometer measurements of ingestive behavior.

Serra M, File B, Alceste D, Raguz I, Gero D, Thalheimer A MethodsX. 2022; 9:101726.

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The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition.

Limketkai B, Mauldin K, Manitius N, Jalilian L, Salonen B Curr Surg Rep. 2021; 9(7):20.

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Future Directions for Integrative Objective Assessment of Eating Using Wearable Sensing Technology.

Skinner A, Toumpakari Z, Stone C, Johnson L Front Nutr. 2020; 7:80.

PMID: 32714939 PMC: 7343846. DOI: 10.3389/fnut.2020.00080.

Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring.

Alshurafa N, Lin A, Zhu F, Ghaffari R, Hester J, Delp E J Med Internet Res. 2019; 21(12):e14904.

PMID: 31799938 PMC: 6920913. DOI: 10.2196/14904.

References

Goris A, Meijer E, Westerterp K . Repeated measurement of habitual food intake increases under-reporting and induces selective under-reporting. Br J Nutr. 2001; 85(5):629-34. DOI: 10.1079/bjn2001322. View

Kalantarian H, Alshurafa N, Le T, Sarrafzadeh M . Monitoring eating habits using a piezoelectric sensor-based necklace. Comput Biol Med. 2015; 58:46-55. DOI: 10.1016/j.compbiomed.2015.01.005. View

Jia W, Chen H, Yue Y, Li Z, Fernstrom J, Bai Y . Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera. Public Health Nutr. 2014; 17(8):1671-81. PMC: 4152011. DOI: 10.1017/S1368980013003236. View

Fontana J, Higgins J, Schuckers S, Bellisle F, Pan Z, Melanson E . Energy intake estimation from counts of chews and swallows. Appetite. 2014; 85:14-21. PMC: 4281480. DOI: 10.1016/j.appet.2014.11.003. View

Martin C, Nicklas T, Gunturk B, Correa J, Allen H, Champagne C . Measuring food intake with digital photography. J Hum Nutr Diet. 2013; 27 Suppl 1:72-81. PMC: 4138603. DOI: 10.1111/jhn.12014. View

Amft O, Kusserow M, Troster G . Bite weight prediction from acoustic recognition of chewing. IEEE Trans Biomed Eng. 2009; 56(6):1663-72. DOI: 10.1109/TBME.2009.2015873. View

Martin C, Han H, Coulon S, Allen H, Champagne C, Anton S . A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method. Br J Nutr. 2008; 101(3):446-56. PMC: 2626133. DOI: 10.1017/S0007114508027438. View

Desendorf J, Bassett Jr D, Raynor H, Coe D . Validity of the Bite Counter device in a controlled laboratory setting. Eat Behav. 2014; 15(3):502-4. DOI: 10.1016/j.eatbeh.2014.06.013. View

Scisco J, Muth E, Hoover A . Examining the utility of a bite-count-based measure of eating activity in free-living human beings. J Acad Nutr Diet. 2013; 114(3):464-469. DOI: 10.1016/j.jand.2013.09.017. View

10.

Salley J, Hoover A, Wilson M, Muth E . Comparison between Human and Bite-Based Methods of Estimating Caloric Intake. J Acad Nutr Diet. 2016; 116(10):1568-1577. PMC: 5039049. DOI: 10.1016/j.jand.2016.03.007. View

11.

Martin C, Newton Jr R, Anton S, Allen H, Alfonso A, Han H . Measurement of children's food intake with digital photography and the effects of second servings upon food intake. Eat Behav. 2007; 8(2):148-56. DOI: 10.1016/j.eatbeh.2006.03.003. View

12.

Martin C, Correa J, Han H, Allen H, Rood J, Champagne C . Validity of the Remote Food Photography Method (RFPM) for estimating energy and nutrient intake in near real-time. Obesity (Silver Spring). 2011; 20(4):891-9. PMC: 3975169. DOI: 10.1038/oby.2011.344. View

13.

Sun M, Burke L, Mao Z, Chen Y, Chen H, Bai Y . eButton: A Wearable Computer for Health Monitoring and Personal Assistance. Proc Des Autom Conf. 2014; 2014:1-6. PMC: 4203446. DOI: 10.1145/2593069.2596678. View

14.

Williamson D, Allen H, Martin P, Alfonso A, Gerald B, Hunt A . Digital photography: a new method for estimating food intake in cafeteria settings. Eat Weight Disord. 2004; 9(1):24-8. DOI: 10.1007/BF03325041. View

15.

Lopez-Meyer P, Patil Y, Tiffany T, Sazonov E . Detection of Hand-to-Mouth Gestures Using a RF Operated Proximity Sensor for Monitoring Cigarette Smoking. Open Biomed Eng J. 2013; 9:41-9. PMC: 3664461. DOI: 10.2174/1874120701307010041. View

16.

Thompson F, Subar A, Loria C, Reedy J, Baranowski T . Need for technological innovation in dietary assessment. J Am Diet Assoc. 2010; 110(1):48-51. PMC: 2823476. DOI: 10.1016/j.jada.2009.10.008. View