Measuring Caloric Intake at the Population Level (NOTION): Protocol for an Experimental Study
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Dario Gregori | Ileana Baldi | Paola Berchialla | Elisa Fuscà | Anna Bolzon | Alessia Buratin | Mariangela Ruffolo | Egle Perissinotto | I. Baldi | D. Gregori | P. Berchialla | E. Perissinotto | M. Ruffolo | A. Buratin | Elisa Fuscà | Anna Bolzon
[1] Tom Baranowski,et al. Need for technological innovation in dietary assessment. , 2010, Journal of the American Dietetic Association.
[2] Dario Gregori,et al. Wearable Devices for Caloric Intake Assessment: State of Art and Future Developments , 2017, The open nursing journal.
[3] I. Hoffmann,et al. Trends in food consumption and nutrient intake in Germany between 2006 and 2012: results of the German National Nutrition Monitoring (NEMONIT). , 2016, The British journal of nutrition.
[4] Mandi Yu,et al. Mining Health App Data to Find More and Less Successful Weight Loss Subgroups , 2016, Journal of medical Internet research.
[5] M. R. D. Silva,et al. A calorimetric and computational study on the thermochemistry of 2-(5H)-furanone and 2-(5H)-thiophenone , 2010 .
[6] Zoe Falomir Llansola,et al. Technological Applications for the Automation of Food Questionnaires in Medical Studies: a state-of-art-review and future prospective , 2012 .
[7] R. Farris,et al. Dietary assessment in children using electronic methods: telephones and tape recorders. , 1990, Journal of the American Dietetic Association.
[8] Rosalind Fallaize,et al. Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire , 2014, Journal of medical Internet research.
[9] M. Sevick,et al. Self-monitoring in weight loss: a systematic review of the literature. , 2011, Journal of the American Dietetic Association.
[10] Alexander Horsch,et al. Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity , 2013, PloS one.
[11] Michael R. Neuman,et al. Energy intake estimation from counts of chews and swallows , 2015, Appetite.
[12] G. Biino,et al. Reliability of a dietary questionnaire on food habits, eating behaviour and nutritional knowledge of adolescents , 2003, European Journal of Clinical Nutrition.
[13] Kyungwon Oh,et al. Dietary assessment methods in epidemiologic studies , 2014, Epidemiology and health.
[14] Eric Ravussin,et al. Analysis of energy metabolism in humans: A review of methodologies , 2016, Molecular metabolism.
[15] L. Béjar,et al. The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire , 2016, JMIR research protocols.
[16] K R Westerterp,et al. Repeated measurement of habitual food intake increases under-reporting and induces selective under-reporting , 2001, British Journal of Nutrition.
[17] Richard W. Devaul,et al. Real-time motion classi ca-tion for wearable computing applications , 2001 .
[18] Weng-Keen Wong,et al. Artificial neural networks to predict activity type and energy expenditure in youth. , 2012, Medicine and science in sports and exercise.
[19] Svetha Venkatesh,et al. Hierarchical recognition of intentional human gestures for sports video annotation , 2002, Object recognition supported by user interaction for service robots.
[20] B. G. Celler,et al. Classification of basic daily movements using a triaxial accelerometer , 2004, Medical and Biological Engineering and Computing.
[21] P H Veltink,et al. Detection of static and dynamic activities using uniaxial accelerometers. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[22] David R Bassett,et al. Validity of the Bite Counter device in a controlled laboratory setting. , 2014, Eating behaviors.
[23] Adam W. Hoover,et al. Assessing the Accuracy of a Wrist Motion Tracking Method for Counting Bites Across Demographic and Food Variables , 2017, IEEE Journal of Biomedical and Health Informatics.
[24] Jr. S. Marple,et al. Computing the discrete-time 'analytic' signal via FFT , 1999, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).
[25] Zoe Falomir,et al. Automation of Food Questionnaires in Medical Studies: A state-of-the-art review and future prospects , 2012, Comput. Biol. Medicine.
[26] Jonathan Krakoff,et al. Energy-balance studies reveal associations between gut microbes, caloric load, and nutrient absorption in humans. , 2011, The American journal of clinical nutrition.
[27] Kristof Van Laerhoven,et al. What shall we teach our pants? , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.
[28] J. Krakoff,et al. Food label accuracy of common snack foods , 2013, Obesity.
[29] Wang Yi,et al. AutoDietary: A Wearable Acoustic Sensor System for Food Intake Recognition in Daily Life , 2016, IEEE Sensors Journal.
[30] Eric R. Muth,et al. Effects of Bite Count Feedback from a Wearable Device and Goal Setting on Consumption in Young Adults. , 2016, Journal of the Academy of Nutrition and Dietetics.
[31] Yujie Dong,et al. A Device for Detecting and Counting Bites of Food Taken by a Person during Eating , 2009, IEEE International Conference on Bioinformatics and Biomedicine.
[32] Kong Y Chen,et al. An artificial neural network model of energy expenditure using nonintegrated acceleration signals. , 2007, Journal of applied physiology.
[33] Majid Sarrafzadeh,et al. Monitoring eating habits using a piezoelectric sensor-based necklace , 2015, Comput. Biol. Medicine.
[34] Friedrich Foerster,et al. Detection of posture and motion by accelerometry : a validation study in ambulatory monitoring , 1999 .
[35] Angelo M. Sabatini,et al. Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers , 2010, Sensors.
[36] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.