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dc.contributor.author
Fontana, Juan Manuel  
dc.contributor.author
Farooq, Muhammad  
dc.contributor.author
Sazonov, Edward  
dc.date.available
2022-12-12T13:57:00Z  
dc.date.issued
2014-02  
dc.identifier.citation
Fontana, Juan Manuel; Farooq, Muhammad; Sazonov, Edward; Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior; Institute of Electrical and Electronics Engineers; Ieee Transactions On Bio-medical Engineering; 61; 6; 2-2014; 1772-1779  
dc.identifier.issn
0018-9294  
dc.identifier.uri
http://hdl.handle.net/11336/180731  
dc.description.abstract
Objective monitoring of food intake and ingestive behavior in a free-living environment remains an open problem that has significant implications in study and treatment of obesity and eating disorders. In this paper, a novel wearable sensor system (automatic ingestion monitor, AIM) is presented for objective monitoring of ingestive behavior in free living. The proposed device integrates three sensor modalities that wirelessly interface to a smartphone: a jaw motion sensor, a hand gesture sensor, and an accelerometer. A novel sensor fusion and pattern recognition method was developed for subject-independent food intake recognition. The device and the methodology were validated with data collected from 12 subjects wearing AIM during the course of 24 h in which both the daily activities and the food intake of the subjects were not restricted in any way. Results showed that the system was able to detect food intake with an average accuracy of 89.8%, which suggests that AIM can potentially be used as an instrument to monitor ingestive behavior in free-living individuals.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
AUTOMATIC INGESTION MONITOR (AIM)  
dc.subject
CHEWING  
dc.subject
EATING DISORDERS  
dc.subject
FOOD INTAKE (FI) DETECTION  
dc.subject
OBESITY  
dc.subject
PATTERN RECOGNITION  
dc.subject
WEARABLE SENSORS  
dc.subject.classification
Otras Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-12-06T17:09:28Z  
dc.journal.volume
61  
dc.journal.number
6  
dc.journal.pagination
1772-1779  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nueva York  
dc.description.fil
Fil: Fontana, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería; Argentina. The University Of Alabama; Estados Unidos  
dc.description.fil
Fil: Farooq, Muhammad. The University Of Alabama; Estados Unidos  
dc.description.fil
Fil: Sazonov, Edward. The University Of Alabama; Estados Unidos  
dc.journal.title
Ieee Transactions On Bio-medical Engineering  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/6742586  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1109/TBME.2014.2306773