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FluidMeter

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-69362-0openalex-snapshot
Seamless Healthcare Monitoring
inferredcites →https://doi.org/10.1007/978-3-319-69362-0_13openalex-snapshot
Automatic Dietary Monitoring Using Wearable Accessories
inferredcites →https://doi.org/10.1016/j.compbiomed.2015.07.013openalex-snapshot
Audio-based detection and evaluation of eating behavior using the smartwatch platform
inferredcites →https://doi.org/10.1016/j.physbeh.2015.04.028openalex-snapshot
Mild hypohydration increases the frequency of driver errors during a prolonged, monotonous driving task
inferredcites →https://doi.org/10.1097/00005768-200109000-00016openalex-snapshot
Influence of age on thirst and fluid intake
inferredcites →https://doi.org/10.1109/icassp.2010.5495895openalex-snapshot
Accelerometer-based gesture recognition via dynamic-time warping, affinity propagation, & compressive sensing
inferredcites →https://doi.org/10.1109/iros.2016.7759295openalex-snapshot
AutoHydrate: A wearable hydration monitoring system
inferredcites →https://doi.org/10.1109/ispacs.2014.7024449openalex-snapshot
Vision-based hand grasping posture recognition in drinking activity
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/jsen.2015.2497279openalex-snapshot
Detection of Gestures Associated With Medication Adherence Using Smartwatch-Based Inertial Sensors
inferredcites →https://doi.org/10.1109/mprv.2009.32openalex-snapshot
On-Body Sensing Solutions for Automatic Dietary Monitoring
inferredcites →https://doi.org/10.1109/percom.2017.7917847openalex-snapshot
FamilyLog: A mobile system for monitoring family mealtime activities
inferredcites →https://doi.org/10.1109/percomw.2010.5470653openalex-snapshot
Towards wearable sensing-based assessment of fluid intake
inferredcites →https://doi.org/10.1109/tbme.2016.2631246openalex-snapshot
Unobtrusive and Wearable Systems for Automatic Dietary Monitoring
inferredcites →https://doi.org/10.1145/1329125.1329409openalex-snapshot
Conditional random fields for activity recognition
inferredcites →https://doi.org/10.1145/2594368.2594386openalex-snapshot
BodyBeat
inferredcites →https://doi.org/10.1145/2632048.2632093openalex-snapshot
Persuasive technology to improve eating behavior using a sensor-embedded fork
inferredcites →https://doi.org/10.1145/2750858.2807545openalex-snapshot
A practical approach for recognizing eating moments with wrist-mounted inertial sensing
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/10.1145/3130902openalex-snapshot
EarBit
inferredcites →https://doi.org/10.1145/3131894openalex-snapshot
Recognizing Eating from Body-Worn Sensors
inferredcites →https://doi.org/10.1145/3329189openalex-snapshot
Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare
inferredcites →https://doi.org/10.3390/computers6010004openalex-snapshot
Wearable Food Intake Monitoring Technologies: A Comprehensive Review
inferredcites →https://doi.org/10.4108/eai.16-5-2016.2263281openalex-snapshot
Multimodality Sensing for Eating Recognition
inferredcites →https://doi.org/10.48550/arxiv.1207.4747openalex-snapshot
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-35572-1_5openalex-snapshot
Practicality Aspects of Automatic Fluid Intake Monitoring via Smartwatches
inferred← citeshttps://doi.org/10.1007/978-3-032-16992-1_9openalex-snapshot
A Wearable Sensor-Based Framework to Detect Dehydration in Elderly People: A User-Centred Design Study
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/j.dib.2026.112761openalex-snapshot
InGesture: An eight-class inertial sensor dataset for fluid intake and hand-gesture recognition
inferred← citeshttps://doi.org/10.1016/j.irbm.2023.100813openalex-snapshot
Estimating Fluid Intake Volume Using a Novel Vision-Based Approach
inferred← citeshttps://doi.org/10.1038/s41746-020-0246-2openalex-snapshot
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review
inferred← citeshttps://doi.org/10.1109/bhi50953.2021.9508519openalex-snapshot
Detecting Granular Eating Behaviors From Body-worn Audio and Motion Sensors
inferred← citeshttps://doi.org/10.1109/comst.2024.3357591openalex-snapshot
A Systematic Review of Human Activity Recognition Based on Mobile Devices: Overview, Progress and Trends
inferred← citeshttps://doi.org/10.1109/icdcs.2019.00177openalex-snapshot
Context Recognition of Humans and Objects by Distributed Zero-Energy IoT Devices
inferred← citeshttps://doi.org/10.1109/ichi54592.2022.00054openalex-snapshot
Practicality of Automatic Monitoring Sufficient Fluid Intake for Older People
inferred← citeshttps://doi.org/10.1109/indicon47234.2019.9030309openalex-snapshot
Health Assessment for Office Workers by Tracking the Wrist Motion Centric Activity
inferred← citeshttps://doi.org/10.1109/iotdi54339.2022.00014openalex-snapshot
Let's Grab a Drink: Teacher-Student Learning for Fluid Intake Monitoring using Smart Earphones
inferred← citeshttps://doi.org/10.1109/isce.2019.8900999openalex-snapshot
Container Type and Fill Level Classification Using a Bottle-Attachable IMU Sensor
inferred← citeshttps://doi.org/10.1109/jsen.2021.3081012openalex-snapshot
LIDS: Mobile System to Monitor Type and Volume of Liquid Intake
inferred← citeshttps://doi.org/10.1109/wowmom.2019.8792985openalex-snapshot
Improving Water Consumption Estimates from a Bottle-Attachable Sensor Using Heuristic Fusion
inferred← citeshttps://doi.org/10.1145/3325424.3329661openalex-snapshot
Understanding the Predictability of Smartwatch Usage
inferred← citeshttps://doi.org/10.1145/3351281openalex-snapshot
PDMove
inferred← citeshttps://doi.org/10.1145/3396339.3396361openalex-snapshot
A smart utensil for detecting food pick-up gesture and amount while eating
inferred← citeshttps://doi.org/10.1145/3463494openalex-snapshot
mTeeth
inferred← citeshttps://doi.org/10.1145/3473856.3474009openalex-snapshot
Wisdom of the IoT Crowd: Envisioning a Smart Home-based Nutritional Intake Monitoring System
inferred← citeshttps://doi.org/10.1145/3643500openalex-snapshot
exHAR
inferred← citeshttps://doi.org/10.1145/3672076openalex-snapshot
NIR-sighted: A Programmable Streaming Architecture for Low-Energy Human-Centric Vision Applications
inferred← citeshttps://doi.org/10.1145/3675095.3676619openalex-snapshot
MunchSonic: Tracking Fine-grained Dietary Actions through Active Acoustic Sensing on Eyeglasses
inferred← citeshttps://doi.org/10.2196/14904openalex-snapshot
Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring
inferred← citeshttps://doi.org/10.2196/preprints.71122openalex-snapshot
Real-life home monitoring of malnutrition with digital and biological markers: A systematic review (Preprint)
inferred← citeshttps://doi.org/10.3233/ais-230524openalex-snapshot
Drinking event detection on a sensing wristband using machine learning
inferred← citeshttps://doi.org/10.3389/fnut.2022.877775openalex-snapshot
Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices
inferred← citeshttps://doi.org/10.3390/app14114480openalex-snapshot
Multi-Sensor Fusion Approach to Drinking Activity Identification for Improving Fluid Intake Monitoring
inferred← citeshttps://doi.org/10.3390/bios14010014openalex-snapshot
An Analysis of Fluid Intake Assessment Approaches for Fluid Intake Monitoring System
inferred← citeshttps://doi.org/10.3390/nu13062092openalex-snapshot
Fluid Intake Monitoring Systems for the Elderly: A Review of the Literature
inferred← citeshttps://doi.org/10.3390/s19184008openalex-snapshot
A Container-Attachable Inertial Sensor for Real-Time Hydration Tracking
inferred← citeshttps://doi.org/10.3390/s20226682openalex-snapshot
Fluid Intake Monitoring System Using a Wearable Inertial Sensor for Fluid Intake Management
inferred← citeshttps://doi.org/10.3390/s23187757openalex-snapshot
Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review
inferred← citeshttps://doi.org/10.3390/s25102966openalex-snapshot
A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior
inferred← citeshttps://doi.org/10.5753/sbcas.2026.21744openalex-snapshot
Recognizing Drinking Gestures with Wrist-Worn Inertial Sensors: Public Dataset and Lightweight CNN Approach
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