Next Article in Journal
“Stable-on-the-Table” Biosensors: Hemoglobin-Poly (Acrylic Acid) Nanogel BioElectrodes with High Thermal Stability and Enhanced Electroactivity
Previous Article in Journal
Vision-Based Detection and Distance Estimation of Micro Unmanned Aerial Vehicles
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(9), 23847-23867; doi:10.3390/s150923847

Camera on Vessel: A Camera-Based System to Measure Change in Water Volume in a Drinking Glass

Designed Intelligence, Department of Industrial Design, Technische Universiteit Eindhoven, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Received: 23 June 2015 / Revised: 8 September 2015 / Accepted: 10 September 2015 / Published: 18 September 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [12609 KB, uploaded 18 September 2015]   |  

Abstract

A major problem related to chronic health is patients’ “compliance” with new lifestyle changes, medical prescriptions, recommendations, or restrictions. Heart-failure and hemodialysis patients are usually placed on fluid restrictions due to their hemodynamic status. A holistic approach to managing fluid imbalance will incorporate the monitoring of salt-water intake, body-fluid retention, and fluid excretion in order to provide effective intervention at an early stage. Such an approach creates a need to develop a smart device that can monitor the drinking activities of the patient. This paper employs an empirical approach to infer the real water level in a conically shapped glass and the volume difference due to changes in water level. The method uses a low-resolution miniaturized camera to obtain images using an Arduino microcontroller. The images are processed in MATLAB. Conventional segmentation techniques (such as a Sobel filter to obtain a binary image) are applied to extract the level gradient, and an ellipsoidal fitting helps to estimate the size of the cup. The fitting (using least-squares criterion) between derived measurements in pixel and the real measurements shows a low covariance between the estimated measurement and the mean. The correlation between the estimated results to ground truth produced a variation of 3% from the mean. View Full-Text
Keywords: fluid level measurement; fluid monitoring; fluid imbalance; camera vision; chronic patients fluid level measurement; fluid monitoring; fluid imbalance; camera vision; chronic patients
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ayoola, I.; Chen, W.; Feijs, L. Camera on Vessel: A Camera-Based System to Measure Change in Water Volume in a Drinking Glass. Sensors 2015, 15, 23847-23867.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top