A Sensor System for Automatic Detection of Food Intake Through Non-Invasive Monitoring of Chewing

dc.contributor.authorSazonov, Edward S.
dc.contributor.authorFontana, Juan M.
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T19:33:26Z
dc.date.available2023-09-28T19:33:26Z
dc.date.issued2012
dc.description.abstractObjective and automatic sensor systems to monitor ingestive behavior of individuals arise as a potential solution to replace inaccurate method of self-report. This paper presents a simple sensor system and related signal processing and pattern recognition methodologies to detect periods of food intake based on non-invasive monitoring of chewing. A piezoelectric strain gauge sensor was used to capture movement of the lower jaw from 20 volunteers during periods of quiet sitting, talking and food consumption. These signals were segmented into non-overlapping epochs of fixed length and processed to extract a set of 250 time and frequency domain features for each epoch. A forward feature selection procedure was implemented to choose the most relevant features, identifying from 4 to 11 features most critical for food intake detection. Support vector machine classifiers were trained to create food intake detection models. Twenty-fold cross-validation demonstrated per-epoch classification accuracy of 80.98% and a fine time resolution of 30 s. The simplicity of the chewing strain sensor may result in a less intrusive and simpler way to detect food intake. The proposed methodology could lead to the development of a wearable sensor system to assess eating behaviors of individuals.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationSazonov, E. S., & Fontana, J. M. (2012). A Sensor System for Automatic Detection of Food Intake Through Non-Invasive Monitoring of Chewing. In IEEE Sensors Journal (Vol. 12, Issue 5, pp. 1340–1348). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/jsen.2011.2172411
dc.identifier.doi10.1109/JSEN.2011.2172411
dc.identifier.orcidhttps://orcid.org/0000-0001-7792-4234
dc.identifier.orcidhttps://orcid.org/0000-0002-8934-1359
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11409
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEE
dc.subjectChewing (mastication)
dc.subjectfood intake detection
dc.subjectmonitoring of ingestive behavior (MIB)
dc.subjectpattern recognition
dc.subjectwearable sensor
dc.subjectENERGY-INTAKE
dc.subjectINGESTIVE BEHAVIOR
dc.subjectDIETARY ASSESSMENT
dc.subjectFORCE
dc.subjectMODEL
dc.subjectMASTICATION
dc.subjectMARKERS
dc.subjectRECORDS
dc.subjectABILITY
dc.subjectDIARY
dc.subjectEngineering, Electrical & Electronic
dc.subjectInstruments & Instrumentation
dc.subjectPhysics, Applied
dc.titleA Sensor System for Automatic Detection of Food Intake Through Non-Invasive Monitoring of Chewingen_US
dc.typeArticle
dc.typetext
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