| scholarly article | Q13442814 |
| P50 | author | Jeannie S Huang | Q57319976 |
| Cheng K Fred Wen | Q59764285 | ||
| Brooke M Bell | Q87676816 | ||
| Tom Baranowski | Q37371402 | ||
| Donna Spruijt-Metz | Q47702564 | ||
| P2093 | author name string | Stephen Intille | |
| P2860 | cites work | Automatic food detection in egocentric images using artificial intelligence technology | Q62496492 |
| Validation of the CSA accelerometer for assessing children's physical activity | Q72419777 | ||
| A robust classification scheme for detection of food intake through non-invasive monitoring of chewing | Q86023302 | ||
| A Practical Approach for Recognizing Eating Moments with Wrist-Mounted Inertial Sensing | Q88008256 | ||
| Usefulness of motion sensors to estimate energy expenditure in children and adults: a narrative review of studies using DLW | Q88658514 | ||
| Dietary Assessment with a Wearable Camera among Children: Feasibility and Intercoder Reliability | Q90986579 | ||
| Using Wearable Activity Type Detection to Improve Physical Activity Energy Expenditure Estimation | Q91324290 | ||
| Recommendations to improve the accuracy of estimates of physical activity derived from self report | Q26853265 | ||
| Current mHealth technologies for physical activity assessment and promotion | Q26866371 | ||
| Evolution of accelerometer methods for physical activity research | Q27025956 | ||
| Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communication | Q28388600 | ||
| Physical activity in the United States measured by accelerometer | Q29614190 | ||
| A Novel Wearable Device for Food Intake and Physical Activity Recognition | Q30377273 | ||
| A novel approach for food intake detection using electroglottography | Q30413253 | ||
| Multimodal physical activity recognition by fusing temporal and cepstral information | Q30418919 | ||
| Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior | Q30431004 | ||
| Non-invasive monitoring of chewing and swallowing for objective quantification of ingestive behavior. | Q30492739 | ||
| Toward objective monitoring of ingestive behavior in free-living population. | Q30494359 | ||
| Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review | Q30657482 | ||
| Twenty-four Hours of Sleep, Sedentary Behavior, and Physical Activity with Nine Wearable Devices | Q30714490 | ||
| Monitoring dietary intake and physical activity electronically: feasibility, usability, and ecological validity of a mobile-based Ecological Momentary Assessment tool | Q33440049 | ||
| Measuring and influencing physical activity with smartphone technology: a systematic review. | Q33440554 | ||
| A mobile phone food record app to digitally capture dietary intake for adolescents in a free-living environment: usability study | Q33443020 | ||
| NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment | Q33455266 | ||
| A wearable electronic system for objective dietary assessment | Q33617823 | ||
| Tests of the accuracy and speed of categorizing foods into child vs professional categories using two methods of browsing with children | Q33619071 | ||
| Compliance With Mobile Ecological Momentary Assessment Protocols in Children and Adolescents: A Systematic Review and Meta-Analysis | Q33659544 | ||
| 3D/2D Model-to-Image Registration for Quantitative Dietary Assessment | Q33759482 | ||
| Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera | Q34121258 | ||
| Spatial classification of youth physical activity patterns. | Q34239652 | ||
| Evidence-based development of a mobile telephone food record | Q34592018 | ||
| Energy intake estimation from counts of chews and swallows | Q34799122 | ||
| Validity of PALMS GPS scoring of active and passive travel compared with SenseCam | Q34893165 | ||
| An exploratory study on a chest-worn computer for evaluation of diet, physical activity and lifestyle. | Q35236572 | ||
| New horizons in sensor development | Q35632373 | ||
| Assessment of physical activity using wearable monitors: recommendations for monitor calibration and use in the field | Q35632382 | ||
| Feasibility and Use of the Mobile Food Record for Capturing Eating Occasions among Children Ages 3-10 Years in Guam. | Q35808901 | ||
| Agreement between activPAL and ActiGraph for assessing children's sedentary time | Q35848715 | ||
| A Low Power, Parallel Wearable Multi-Sensor System for Human Activity Evaluation | Q35849520 | ||
| Issues in dietary intake assessment of children and adolescents. | Q35937200 | ||
| Validity of energy intake estimated by digital photography plus recall in overweight and obese young adults | Q36011991 | ||
| Skin carotenoid status measured by resonance Raman spectroscopy as a biomarker of fruit and vegetable intake in preschool children | Q36050310 | ||
| The Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study | Q36095998 | ||
| Artificial neural networks to predict activity type and energy expenditure in youth | Q36173783 | ||
| Overweight and Obese Children's Ability to Report Energy Intake Using Digital Camera Food Records during a 2-Year Study | Q36200098 | ||
| Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. | Q36266400 | ||
| Conducting accelerometer-based activity assessments in field-based research | Q36315542 | ||
| Innovations in the Use of Interactive Technology to Support Weight Management. | Q36425065 | ||
| A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study | Q36440944 | ||
| A Mobile Phone Based Method to Assess Energy and Food Intake in Young Children: A Validation Study against the Doubly Labelled Water Method and 24 h Dietary Recalls | Q36507530 | ||
| Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity | Q36738809 | ||
| Utility of passive photography to objectively audit built environment features of active transport journeys: an observational study. | Q36769568 | ||
| Investigating within-day and longitudinal effects of maternal stress on children's physical activity, dietary intake, and body composition: Protocol for the MATCH study | Q36883481 | ||
| Sweetened drink and snacking cues in adolescents: a study using ecological momentary assessment. | Q36916740 | ||
| Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity | Q37010185 | ||
| 3D localization of circular feature in 2D image and application to food volume estimation | Q37029445 | ||
| The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. | Q37040903 | ||
| A Systematic Review of Methods and Procedures Used in Ecological Momentary Assessments of Diet and Physical Activity Research in Youth: An Adapted STROBE Checklist for Reporting EMA Studies (CREMAS). | Q37067354 | ||
| Automatic detection of dining plates for image-based dietary evaluation | Q37085597 | ||
| Measurement of food volume based on single 2-D image without conventional camera calibration | Q37085610 | ||
| Simulated adaptations to an adult dietary self-report tool to accommodate children: impact on nutrient estimates | Q37166468 | ||
| Ecological momentary assessment | Q37176232 | ||
| Resonance Raman spectroscopic evaluation of skin carotenoids as a biomarker of carotenoid status for human studies. | Q37282017 | ||
| Fruit and vegetables are similarly categorised by 8-13-year-old children | Q37385421 | ||
| Iterative Development of an Online Dietary Recall Tool: INTAKE24. | Q37673161 | ||
| Equating accelerometer estimates among youth: The Rosetta Stone 2. | Q37738721 | ||
| Assessing physical activity using wearable monitors: measures of physical activity | Q37967019 | ||
| Using accelerometers in youth physical activity studies: a review of methods | Q38101909 | ||
| Measures of outdoor play and independent mobility in children and youth: A methodological review | Q38240329 | ||
| Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall | Q38272149 | ||
| Behavior change interventions: the potential of ontologies for advancing science and practice | Q38444114 | ||
| Factors Related to the Accuracy of Self-Reported Dietary Intake of Children Aged 6 to 12 Years Elicited with Interviews: A Systematic Review. | Q38611351 | ||
| Validity of a Digital Diet Estimation Method for Use with Preschool Children. | Q38715132 | ||
| Differences in Mothers' and Children's Dietary Intake during Physical and Sedentary Activities: An Ecological Momentary Assessment Study | Q38732800 | ||
| Segmentation and Characterization of Chewing Bouts by Monitoring Temporalis Muscle Using Smart Glasses with Piezoelectric Sensor. | Q39005187 | ||
| Automatic diet monitoring: a review of computer vision and wearable sensor-based methods. | Q39110949 | ||
| Tracking the commute home from school utilizing GPS and heart rate monitoring: establishing the contribution to free-living physical activity. | Q39204138 | ||
| Activity Recognition in Youth Using Single Accelerometer Placed at Wrist or Ankle. | Q39208580 | ||
| The application of a handheld personal digital assistant with camera and mobile phone card (Wellnavi) to the general population in a dietary survey. | Q39804039 | ||
| Children's accuracy of portion size estimation using digital food images: effects of interface design and size of image on computer screen | Q39958707 | ||
| Effectiveness of cell phones and mypyramidtracker.gov to estimate fruit and vegetable intake | Q40076873 | ||
| Comparative assessment of sleep quality estimates using home monitoring technology | Q41605617 | ||
| The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes | Q44356505 | ||
| Using ecologic momentary assessment to measure physical activity during adolescence | Q44396569 | ||
| Detection of lying down, sitting, standing, and stepping using two activPAL monitors | Q44977659 | ||
| Design of a instrumentation module for monitoring ingestive behavior in laboratory studies | Q45422695 | ||
| Commentary: A social-ecological perspective on obesity among Latinos. | Q45976876 | ||
| Validation of the Portuguese self-administered computerised 24-hour dietary recall among second-, third- and fourth-grade children. | Q46105054 | ||
| Validation of a web-based questionnaire to assess the dietary intake of Brazilian children aged 7-10 years | Q46534323 | ||
| Wireless Distributed Environmental Sensor Networks for Air Pollution Measurement-The Promise and the Current Reality | Q47116848 | ||
| Reduction of energy intake using just-in-time feedback from a wearable sensor system. | Q47361791 | ||
| The validity of dietary assessment methods to accurately measure energy intake in children and adolescents who are overweight or obese: a systematic review. | Q47748019 | ||
| Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues. | Q48104636 | ||
| Reliability and validity of food portion size estimation from images using manual flexible digital virtual meshes. | Q50085137 | ||
| Detecting indoor and outdoor environments using the ActiGraph GT3X+ light sensor in children. | Q50793715 | ||
| Using a wearable camera to increase the accuracy of dietary analysis. | Q50871147 | ||
| DietCam: Multiview Food Recognition Using a Multikernel SVM. | Q50935747 | ||
| A timely meeting: objective measurement of physical activity. | Q51318468 | ||
| The food intake recording software system is valid among fourth-grade children. | Q51958832 | ||
| Utility of eButton images for identifying food preparation behaviors and meal-related tasks in adolescents. | Q53448046 | ||
| Estimation of feature importance for food intake detection based on Random Forests classification. | Q54793606 | ||
| Combining GPS with heart rate monitoring to measure physical activity in children: A feasibility study | Q57262807 | ||
| P433 | issue | 4 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | youth | Q190007 |
| P304 | page(s) | e81-e91 | |
| P577 | publication date | 2018-08-19 | |
| P1433 | published in | American Journal of Preventive Medicine | Q4744265 |
| P1476 | title | Advances and Controversies in Diet and Physical Activity Measurement in Youth | |
| P478 | volume | 55 |
| Q90485636 | Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review |
| Q64117046 | Can Wearable Cameras be Used to Validate School-Aged Children's Lifestyle Behaviours? |
| Q58587634 | Nutrition Education and Dietary Behavior Change Games: A Scoping Review |
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