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Unobtrusive and Wearable Systems for Automatic Dietary Monitoring
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11551201_4openalex-snapshot
Analysis of Chewing Sounds for Dietary Monitoring
inferredcites →https://doi.org/10.1007/11748625_23openalex-snapshot
The Diet-Aware Dining Table: Observing Dietary Behaviors over a Tabletop Surface
inferredcites →https://doi.org/10.1007/bf01408562openalex-snapshot
Context-awareness in wearable and ubiquitous computing
inferredcites →https://doi.org/10.1007/s00455-005-0013-1openalex-snapshot
An Acoustic Profile of Normal Swallowing
inferredcites →https://doi.org/10.1007/s00779-010-0331-7openalex-snapshot
COSAR: hybrid reasoning for context-aware activity recognition
inferredcites →https://doi.org/10.1007/s00779-011-0425-xopenalex-snapshot
Exploiting visual quasi-periodicity for real-time chewing event detection using active appearance models and support vector machines
inferredcites →https://doi.org/10.1007/s10439-010-0019-1openalex-snapshot
Detection of Food Intake from Swallowing Sequences by Supervised and Unsupervised Methods
inferredcites →https://doi.org/10.1007/s10484-012-9194-1openalex-snapshot
A New Method for Measuring Meal Intake in Humans via Automated Wrist Motion Tracking
inferredcites →https://doi.org/10.1007/s13534-014-0149-8openalex-snapshot
Wearable sensing for liquid intake monitoring via apnea detection in breathing signals
inferredcites →https://doi.org/10.1016/j.artmed.2007.11.007openalex-snapshot
Recognition of dietary activity events using on-body sensors
inferredcites →https://doi.org/10.1016/j.bspc.2011.11.004openalex-snapshot
Automatic identification of the number of food items in a meal using clustering techniques based on the monitoring of swallowing and chewing
inferredcites →https://doi.org/10.1016/j.compbiomed.2015.01.005openalex-snapshot
Monitoring eating habits using a piezoelectric sensor-based necklace
inferredcites →https://doi.org/10.1016/j.inffus.2011.08.001openalex-snapshot
Multisensor data fusion: A review of the state-of-the-art
inferredcites →https://doi.org/10.1016/j.jada.2006.07.004openalex-snapshot
Development of a New Instrument for Evaluating Individuals’ Dietary Intakes
inferredcites →https://doi.org/10.1016/j.jada.2009.10.013openalex-snapshot
A Wearable Electronic System for Objective Dietary Assessment
inferredcites →https://doi.org/10.1016/j.jada.2010.10.008openalex-snapshot
Self-Monitoring in Weight Loss: A Systematic Review of the Literature
inferredcites →https://doi.org/10.1016/j.jand.2014.09.015openalex-snapshot
Image-Assisted Dietary Assessment: A Systematic Review of the Evidence
inferredcites →https://doi.org/10.1016/j.nut.2014.02.020openalex-snapshot
Feasibility and validity of mobile phones to assess dietary intake
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferredcites →https://doi.org/10.1016/s0925-2312(03)00431-4openalex-snapshot
The support vector machine under test
inferredcites →https://doi.org/10.1017/s0007114508027438openalex-snapshot
A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method
inferredcites →https://doi.org/10.1038/oby.2011.344openalex-snapshot
Validity of the Remote Food Photography Method (RFPM) for Estimating Energy and Nutrient Intake in Near Real‐Time
inferredcites →https://doi.org/10.1088/0967-3334/29/5/001openalex-snapshot
Non-invasive monitoring of chewing and swallowing for objective quantification of ingestive behavior
inferredcites →https://doi.org/10.1088/0967-3334/33/6/1073openalex-snapshot
Food intake monitoring: an acoustical approach to automated food intake activity detection and classification of consumed food
inferredcites →https://doi.org/10.1088/0967-3334/35/5/739openalex-snapshot
A novel approach for food intake detection using electroglottography
inferredcites →https://doi.org/10.1109/bhi.2016.7455916openalex-snapshot
Detecting food intake acoustic events in noisy recordings using template matching
inferredcites →https://doi.org/10.1109/bsn.2011.38openalex-snapshot
A Non-invasive Wearable Neck-Cuff System for Real-Time Sleep Monitoring
inferredcites →https://doi.org/10.1109/bsn.2012.11openalex-snapshot
An Intelligent Food-Intake Monitoring System Using Wearable Sensors
inferredcites →https://doi.org/10.1109/bsn.2014.26openalex-snapshot
A Wearable Nutrition Monitoring System
inferredcites →https://doi.org/10.1109/cvpr.2010.5539907openalex-snapshot
Food recognition using statistics of pairwise local features
inferredcites →https://doi.org/10.1109/cvpr.2012.6247801openalex-snapshot
A database for fine grained activity detection of cooking activities
inferredcites →https://doi.org/10.1109/cvprw.2013.5openalex-snapshot
Real-Time Mobile Food Recognition System
inferredcites →https://doi.org/10.1109/embc.2014.6943870openalex-snapshot
Tracheal activity recognition based on acoustic signals
inferredcites →https://doi.org/10.1109/icassp.2014.6854430openalex-snapshot
Real-time swallowing detection based on tracheal acoustics
inferredcites →https://doi.org/10.1109/iccvw.2009.5457583openalex-snapshot
The TUM Kitchen Data Set of everyday manipulation activities for motion tracking and action recognition
inferredcites →https://doi.org/10.1109/icip.2009.5413400openalex-snapshot
A food image recognition system with Multiple Kernel Learning
inferredcites →https://doi.org/10.1109/icip.2009.5413511openalex-snapshot
PFID: Pittsburgh fast-food image dataset
inferredcites →https://doi.org/10.1109/icme.2009.5202718openalex-snapshot
Fast food recognition from videos of eating for calorie estimation
inferredcites →https://doi.org/10.1109/icpr.2004.1334408openalex-snapshot
Dining activity analysis using a hidden Markov model
inferredcites →https://doi.org/10.1109/icsens.2010.5690449openalex-snapshot
A wearable earpad sensor for chewing monitoring
inferredcites →https://doi.org/10.1109/icsmc.2009.5346226openalex-snapshot
A real-time ellipse detection based on edge grouping
inferredcites →https://doi.org/10.1109/ie.2011.9openalex-snapshot
Food Intake Activity Detection Using a Wearable Microphone System
inferredcites →https://doi.org/10.1109/iembs.2009.5332870openalex-snapshot
Acoustic obstructive sleep apnea detection
inferredcites →https://doi.org/10.1109/ism.2010.51openalex-snapshot
Image Recognition of 85 Food Categories by Feature Fusion
inferredcites →https://doi.org/10.1109/ism.2011.66openalex-snapshot
Image-based Calorie Content Estimation for Dietary Assessment
inferredcites →https://doi.org/10.1109/iswc.2008.4911602openalex-snapshot
Wearable context-aware food recognition for calorie monitoring
inferredcites →https://doi.org/10.1109/iswpc.2008.4556181openalex-snapshot
Eating habits monitoring using wireless wearable in-ear microphone
inferredcites →https://doi.org/10.1109/jbhi.2013.2268663openalex-snapshot
Food Intake Monitoring: Automated Chew Event Detection in Chewing Sounds
inferredcites →https://doi.org/10.1109/jbhi.2013.2279193openalex-snapshot
Automated Ingestion Detection for a Health Monitoring System
inferredcites →https://doi.org/10.1109/jbhi.2013.2282471openalex-snapshot
Detecting Periods of Eating During Free-Living by Tracking Wrist Motion
inferredcites →https://doi.org/10.1109/jbhi.2014.2308928openalex-snapshot
A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model
inferredcites →https://doi.org/10.1109/jsen.2011.2166954openalex-snapshot
Simple Magnetic Swallowing Detection System
inferredcites →https://doi.org/10.1109/jsen.2011.2172411openalex-snapshot
A Sensor System for Automatic Detection of Food Intake Through Non-Invasive Monitoring of Chewing
inferredcites →https://doi.org/10.1109/jsen.2015.2469095openalex-snapshot
AutoDietary: A Wearable Acoustic Sensor System for Food Intake Recognition in Daily Life
inferredcites →https://doi.org/10.1109/jstsp.2010.2051471openalex-snapshot
The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation
inferredcites →https://doi.org/10.1109/pcthealth.2006.361624openalex-snapshot
Methods for Detection and Classification of Normal Swallowing from Muscle Activation and Sound
inferredcites →https://doi.org/10.1109/percom.2011.5767586openalex-snapshot
Recognizing interleaved and concurrent activities: A statistical-relational approach
inferredcites →https://doi.org/10.1109/rtcsa.2007.17openalex-snapshot
Activity Recognition Based on Semi-supervised Learning
inferredcites →https://doi.org/10.1109/surv.2012.110112.00192openalex-snapshot
A Survey on Human Activity Recognition using Wearable Sensors
inferredcites →https://doi.org/10.1109/tbme.2009.2015873openalex-snapshot
Bite Weight Prediction From Acoustic Recognition of Chewing
inferredcites →https://doi.org/10.1109/tbme.2014.2306773openalex-snapshot
Automatic Ingestion Monitor: A Novel Wearable Device for Monitoring of Ingestive Behavior
inferredcites →https://doi.org/10.1109/tbme.2014.2309951openalex-snapshot
Unobtrusive Sensing and Wearable Devices for Health Informatics
inferredcites →https://doi.org/10.1109/tim.2014.2303533openalex-snapshot
Measuring Calorie and Nutrition From Food Image
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1109/tpami.2011.36openalex-snapshot
Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors
inferredcites →https://doi.org/10.1109/wacv.2015.83openalex-snapshot
Leveraging Context to Support Automated Food Recognition in Restaurants
inferredcites →https://doi.org/10.1109/waspaa.2015.7336906openalex-snapshot
Source separation for target enhancement of food intake acoustics from noisy recordings
inferredcites →https://doi.org/10.1111/j.1365-2842.2006.01626.xopenalex-snapshot
The regulation of masticatory function and food bolus formation
inferredcites →https://doi.org/10.1117/12.778616openalex-snapshot
Technology-assisted dietary assessment
inferredcites →https://doi.org/10.1145/1015330.1015352openalex-snapshot
Margin based feature selection - theory and algorithms
inferredcites →https://doi.org/10.1145/2030112.2030163openalex-snapshot
Accurate and privacy preserving cough sensing using a low-cost microphone
inferredcites →https://doi.org/10.1145/2493432.2493482openalex-snapshot
Combining embedded accelerometers with computer vision for recognizing food preparation activities
inferredcites →https://doi.org/10.1145/2493988.2494352openalex-snapshot
Sensor-embedded teeth for oral activity recognition
inferredcites →https://doi.org/10.1145/2499621openalex-snapshot
A tutorial on human activity recognition using body-worn inertial sensors
inferredcites →https://doi.org/10.1145/2506023.2506037openalex-snapshot
Image-based food volume estimation
inferredcites →https://doi.org/10.1145/2526667.2526672openalex-snapshot
Feasibility of identifying eating moments from first-person images leveraging human computation
inferredcites →https://doi.org/10.1145/2678025.2701405openalex-snapshot
Inferring Meal Eating Activities in Real World Settings from Ambient Sounds
inferredcites →https://doi.org/10.1145/2802083.2808411openalex-snapshot
A wearable system for detecting eating activities with proximity sensors in the outer ear
inferredcites →https://doi.org/10.1145/2971648.2971677openalex-snapshot
Automated estimation of food type and amount consumed from body-worn audio and motion sensors
inferredcites →https://doi.org/10.1152/ajpregu.1980.238.1.r14openalex-snapshot
Universal eating monitor for continuous recording of solid or liquid consumption in man
inferredcites →https://doi.org/10.1161/01.hyp.27.3.481openalex-snapshot
Salt Sensitivity of Blood Pressure in Humans
inferredcites →https://doi.org/10.1177/000348940211100710openalex-snapshot
Acoustic Signature of the Normal Swallow: Characterization by Age, Gender, and Bolus Volume
inferredcites →https://doi.org/10.1258/jtt.2011.100906openalex-snapshot
Trial of a mobile phone method for recording dietary intake in adults with type 2 diabetes: evaluation and implications for future applications
inferredcites →https://doi.org/10.1260/2040-2295.6.1.23openalex-snapshot
Monitoring of Infant Feeding Behavior Using a Jaw Motion Sensor
inferredcites →https://doi.org/10.1299/jamdsm.4.158openalex-snapshot
Wearable Eating Habit Sensing System Using Internal Body Sound
inferredcites →https://doi.org/10.1371/journal.pone.0154486openalex-snapshot
I Hear You Eat and Speak: Automatic Recognition of Eating Condition and Food Type, Use-Cases, and Impact on ASR Performance
inferredcites →https://doi.org/10.3402/fnr.v54i0.5311openalex-snapshot
Evaluation of a digital method to assess evening meal intake in a free-living adult population
inferredcites →https://doi.org/10.4108/icst.pervasivehealth2010.8906openalex-snapshot
Automatic classification of daily fluid intake
inferredcites →https://doi.org/10.4230/lipics.esem.2026.21openalex-snapshot
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
inferredcites →https://doi.org/10.48550/arxiv.1101.3354openalex-snapshot
Introduction to the Bag of Features Paradigm for Image Classification and Retrieval
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-01845-0_162openalex-snapshot
Smart Objects in Pediatric Rehabilitation: Some Preliminary Results from a Research Protocol
inferred← citeshttps://doi.org/10.1007/978-3-030-05921-7_9openalex-snapshot
Smart Objects and Biofeedback for a Pediatric Rehabilitation 2.0
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The Interoperability of Fog and IoT in Healthcare Domain: Architecture, Application, and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-98356-6_13openalex-snapshot
FoodWise: Diabetes-Friendly Nutrition Guide for Traditional Indian Dishes
inferred← citeshttps://doi.org/10.1007/978-3-319-69362-0_13openalex-snapshot
Automatic Dietary Monitoring Using Wearable Accessories
inferred← citeshttps://doi.org/10.1007/978-3-319-77911-9_5openalex-snapshot
Machine Learning for the Classification of Obesity from Dietary and Physical Activity Patterns
inferred← citeshttps://doi.org/10.1007/s00500-023-08251-4openalex-snapshot
IoV-Health: an intelligent integrated emergency health monitoring and alert generation system
inferred← citeshttps://doi.org/10.1007/s10916-018-1115-2openalex-snapshot
Blood Sugar Level Indication Through Chewing and Swallowing from Acoustic MEMS Sensor and Deep Learning Algorithm for Diabetic Management
inferred← citeshttps://doi.org/10.1007/s12652-020-01744-2openalex-snapshot
From AAL to ambient assisted rehabilitation: a research pilot protocol based on smart objects and biofeedback
inferred← citeshttps://doi.org/10.1016/b978-0-12-822548-6.00086-8openalex-snapshot
Passive Sensors for Detection of Food Intake
inferred← citeshttps://doi.org/10.1016/b978-0-12-822548-6.00161-8openalex-snapshot
Sensor Integration for Behavior Monitoring
inferred← citeshttps://doi.org/10.1016/j.appet.2018.08.036openalex-snapshot
Cognitive reappraisal of low-calorie food predicts real-world craving and consumption of high- and low-calorie foods in daily life
inferred← citeshttps://doi.org/10.1016/j.array.2026.100696openalex-snapshot
Real-time eating monitoring: A cyber-physical systems approach
inferred← citeshttps://doi.org/10.1016/j.ijpharm.2018.01.030openalex-snapshot
BioMEMS for biosensors and closed-loop drug delivery
inferred← citeshttps://doi.org/10.1016/j.jand.2018.05.013openalex-snapshot
Dietary Assessment with a Wearable Camera among Children: Feasibility and Intercoder Reliability
inferred← citeshttps://doi.org/10.1016/j.jff.2021.104466openalex-snapshot
Re-thinking functional food development through a holistic approach
inferred← citeshttps://doi.org/10.1016/j.jneb.2022.08.003openalex-snapshot
A Conceptual Model for Mobile Health-enabled Slow Eating Strategies
inferred← citeshttps://doi.org/10.1038/s41598-024-71630-wopenalex-snapshot
Mealtime prediction using wearable insulin pump data to support diabetes management
inferred← citeshttps://doi.org/10.1039/d0an01484bopenalex-snapshot
Wearable sensors for continuous oral cavity and dietary monitoring toward personalized healthcare and digital medicine
inferred← citeshttps://doi.org/10.1093/advances/nmab103openalex-snapshot
Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints
inferred← citeshttps://doi.org/10.1093/database/baad049openalex-snapshot
AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence
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A 3-Step Process to Estimate Phenylalanine in Commercial Foods for PKU Management
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Automatic Food Intake Monitoring Based on Chewing Activity: A Survey
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Detection of Oil-Containing Dressing on Salad Leaves Using Multispectral Imaging
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Transmittance Multispectral Imaging for Reheated Coconut Oil Differentiation
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Industrial Maturity of Machine Learning Solutions Within the Food Industry
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Exploring the effect of food intake and physical activity on body weight
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Predicting the meal macronutrient composition from continuous glucose monitors
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Segmentation and Recognition of Eating Gestures from Wrist Motion using Deep Learning
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A Comparison of Finger and Wrist Motion Tracking to Detect Bites during Food Consumption
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Measuring children’s eating behavior with a wearable device
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Health Assessment for Office Workers by Tracking the Wrist Motion Centric Activity
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FoodCoach: Fully Automated Diet Counseling
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Learning the Difference of Few-Shot Food Data Using Multivariate Knowledge-Guided Variational Autoencoder
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Drinking Event Detection and Episode Identification Using 3D-Printed Smart Cup
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Tiny Eats: Eating Detection on a Microcontroller
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Eating moment recognition using heart rate responses
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FitByte: Automatic Diet Monitoring in Unconstrained Situations Using Multimodal Sensing on Eyeglasses
inferred← citeshttps://doi.org/10.1145/3316782.3322760openalex-snapshot
A survey on AI nutrition recommender systems
inferred← citeshttps://doi.org/10.1145/3421937.3421972openalex-snapshot
Understanding Reflection Needs for Personal Health Data in Diabetes
inferred← citeshttps://doi.org/10.1145/3421937.3421977openalex-snapshot
Adherence to Personal Health Devices
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FitNibble: A Field Study to Evaluate the Utility and Usability of Automatic Diet Monitoring in Food Journaling Using an Eyeglasses-based Wearable
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MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame
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Understanding People's Perceptions of Approaches to Semi-Automated Dietary Monitoring
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WAFFLE: A Wearable Approach to Bite Timing Estimation in Robot-Assisted Feeding
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“Everyone can take photos.” Feasibility and relative validity of phone photography-based assessment of children’s diets – a mixed methods study
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A Social Robot-based Platform towards Automated Diet Tracking
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Self-Powered Wearable IoT Devices for Health and Activity Monitoring
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KB DDHT project 8: Non-destructive and non-invasive sensor technologies in food supply chains : project deliverables 1.1-1.4
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Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review
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Fluid Intake Monitoring Systems for the Elderly: A Review of the Literature
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Carbohydrate Content Classification Using Postprandial Heart Rate Responses from Non-Invasive Wearables
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Human Body Analysis and Diet Recommendation System using Machine Learning Techniques
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Adherence to Personal Health Devices: A Case Study in Diabetes Management
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