Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | ||
| dc.conicet.fuente | individual | |
| dc.conicet.organizacion | Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba | |
| dc.conicet.organizacion | Universidad Nacional de Río Cuarto. Facultad de Ingeniería | |
| dc.conicet.organizacion | The University Of Alabama | |
| dc.conicet.organizacion | The University Of Alabama | |
| dc.conicet.organizacion | The University Of Alabama | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Estados Unidos | |
| dc.conicet.paisOrganizacion | Estados Unidos | |
| dc.conicet.paisOrganizacion | Estados Unidos | |
| dc.conicet.produccionid | 10124124 | |
| dc.contributor.author | Fontana, Juan Manuel | |
| dc.contributor.author | Farooq, Muhammad | |
| dc.contributor.author | Sazonov, Edward | |
| dc.date.accessioned | 2022-12-12T13:57:00Z | |
| dc.date.available | 2022-12-12T13:57:00Z | |
| dc.date.issued | 2014-02 | |
| dc.date.updated | 2022-12-06T17:09:28Z | |
| 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. | es |
| 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.format | application/pdf | es |
| 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 | es |
| dc.identifier.institucional | CONICET | |
| dc.identifier.issn | 0018-9294 | es |
| dc.identifier.repo | CONICET Digital | |
| dc.identifier.uri | http://hdl.handle.net/11336/180731 | |
| dc.journal.ciudad | Nueva York | es |
| dc.journal.number | 6 | es |
| dc.journal.pagination | 1772-1779 | es |
| dc.journal.pais | Estados Unidos | es |
| dc.journal.title | Ieee Transactions On Bio-medical Engineering | es |
| dc.journal.volume | 61 | es |
| dc.language.iso | eng | es |
| dc.publisher | Institute of Electrical and Electronics Engineers | es |
| 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 | |
| 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) | es |
| dc.subject | CHEWING | es |
| dc.subject | EATING DISORDERS | es |
| dc.subject | FOOD INTAKE (FI) DETECTION | es |
| dc.subject | OBESITY | es |
| dc.subject | PATTERN RECOGNITION | es |
| dc.subject | WEARABLE SENSORS | es |
| dc.subject.classification | Otras Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información | es |
| dc.subject.classification | Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información | es |
| dc.subject.classification | INGENIERÍAS Y TECNOLOGÍAS | es |
| dc.title | Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | es |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:ar-repo/semantics/artículo | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
Archivos
Bloque original
Cargando...
- Nombre:
- CONICET_Digital_Nro.a43a32ce-e4f9-403d-b139-692823acf8db_B.pdf
- Tamaño:
- 568.63 KB
- Formato:
- Adobe Portable Document Format