Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior
- Autores
 - Fontana, Juan Manuel; Farooq, Muhammad; Sazonov, Edward
 - Año de publicación
 - 2014
 - Idioma
 - inglés
 - Tipo de recurso
 - artículo
 - Estado
 - versión publicada
 - Descripción
 - 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.
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
Fil: Farooq, Muhammad. The University Of Alabama; Estados Unidos
Fil: Sazonov, Edward. The University Of Alabama; Estados Unidos - Materia
 - 
            
        AUTOMATIC INGESTION MONITOR (AIM)
CHEWING
EATING DISORDERS
FOOD INTAKE (FI) DETECTION
OBESITY
PATTERN RECOGNITION
WEARABLE SENSORS - Nivel de accesibilidad
 - acceso abierto
 - Condiciones de uso
 - https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
 - Repositorio
 .jpg)
- Institución
 - Consejo Nacional de Investigaciones Científicas y Técnicas
 - OAI Identificador
 - oai:ri.conicet.gov.ar:11336/180731
 
Ver los metadatos del registro completo
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                                Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behaviorFontana, Juan ManuelFarooq, MuhammadSazonov, EdwardAUTOMATIC INGESTION MONITOR (AIM)CHEWINGEATING DISORDERSFOOD INTAKE (FI) DETECTIONOBESITYPATTERN RECOGNITIONWEARABLE SENSORShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Objective 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.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 UnidosFil: Farooq, Muhammad. The University Of Alabama; Estados UnidosFil: Sazonov, Edward. The University Of Alabama; Estados UnidosInstitute of Electrical and Electronics Engineers2014-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/180731Fontana, 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; 1772-17790018-9294CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/6742586info:eu-repo/semantics/altIdentifier/doi/10.1109/TBME.2014.2306773info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-29T12:19:34Zoai:ri.conicet.gov.ar:11336/180731instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-29 12:19:35.24CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse | 
      
| dc.title.none.fl_str_mv | 
                                Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | 
      
| title | 
                                Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | 
      
| spellingShingle | 
                                Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior Fontana, Juan Manuel AUTOMATIC INGESTION MONITOR (AIM) CHEWING EATING DISORDERS FOOD INTAKE (FI) DETECTION OBESITY PATTERN RECOGNITION WEARABLE SENSORS  | 
      
| title_short | 
                                Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | 
      
| title_full | 
                                Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | 
      
| title_fullStr | 
                                Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | 
      
| title_full_unstemmed | 
                                Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | 
      
| title_sort | 
                                Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | 
      
| dc.creator.none.fl_str_mv | 
                                Fontana, Juan Manuel Farooq, Muhammad Sazonov, Edward  | 
      
| author | 
                                Fontana, Juan Manuel | 
      
| author_facet | 
                                Fontana, Juan Manuel Farooq, Muhammad Sazonov, Edward  | 
      
| author_role | 
                                author | 
      
| author2 | 
                                Farooq, Muhammad Sazonov, Edward  | 
      
| author2_role | 
                                author author  | 
      
| dc.subject.none.fl_str_mv | 
                                AUTOMATIC INGESTION MONITOR (AIM) CHEWING EATING DISORDERS FOOD INTAKE (FI) DETECTION OBESITY PATTERN RECOGNITION WEARABLE SENSORS  | 
      
| topic | 
                                AUTOMATIC INGESTION MONITOR (AIM) CHEWING EATING DISORDERS FOOD INTAKE (FI) DETECTION OBESITY PATTERN RECOGNITION WEARABLE SENSORS  | 
      
| purl_subject.fl_str_mv | 
                                https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2  | 
      
| dc.description.none.fl_txt_mv | 
                                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. 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 Fil: Farooq, Muhammad. The University Of Alabama; Estados Unidos Fil: Sazonov, Edward. The University Of Alabama; Estados Unidos  | 
      
| description | 
                                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. | 
      
| publishDate | 
                                2014 | 
      
| dc.date.none.fl_str_mv | 
                                2014-02 | 
      
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                                info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo  | 
      
| format | 
                                article | 
      
| status_str | 
                                publishedVersion | 
      
| dc.identifier.none.fl_str_mv | 
                                http://hdl.handle.net/11336/180731 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 0018-9294 CONICET Digital CONICET  | 
      
| url | 
                                http://hdl.handle.net/11336/180731 | 
      
| identifier_str_mv | 
                                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 0018-9294 CONICET Digital CONICET  | 
      
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                                eng | 
      
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                                eng | 
      
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                                Institute of Electrical and Electronics Engineers | 
      
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                                Institute of Electrical and Electronics Engineers | 
      
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