@inproceedings{26206b07a09c432f8a2121a5adcffefc,
title = "Mellitus: A Smartphone Application for Image Processing and Colorimetric Analysis",
abstract = "Together with materials researchers at CENIMAT, a mobile application was developed in order to perform colorimetric analysis of a glucose paper biosensor to be used for the diagnostic of one of the most incident diseases in the world, Diabetes, using Image Processing Techniques and Machine Learning algorithms. This application was designed based on a User Story and various scenarios describing how users can interact with it. Testing showed that the app is capable of distinguishing high glucose concentrations from low concentrations, while a usability questionnaire made to potential users showed that they thought the application was easy to use, being capable of becoming a portable and fast mean of diagnostic.",
keywords = "Biosensor, Classification, Colorimetric Analysis, Diabetes, Image Processing, Mobile Application, Paper",
author = "Andr{\'e} Rodrigues and Nuno Correia and Elvira Fortunato",
note = "Funding Information: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F04516%2F2013/PT# Publisher Copyright: {\textcopyright} 2018 ACM.; 17th International Conference on Mobile and Ubiquitous Multimedia, MUM 2018 ; Conference date: 25-11-2018 Through 28-11-2018",
year = "2018",
doi = "10.1145/3282894.3289738",
language = "English",
isbn = "978-1-4503-6594-9",
series = "MUM: Mobile and Ubiquitous Multimedia",
publisher = "ACM - Association for Computing Machinery",
pages = "449--455",
editor = "Slim Abdennadher and Florian Alt",
booktitle = "17th International Conference on Mobile and Ubiquitous Multimedia",
address = "United States",
}
