FlavorCharter: Development of a Smartphone App for Quantifying Food Flavor

Francesco Botto; Guadalupe Canahuate; Xinhua Zhang; C. David Fuller; G. Elisabeta Marai

doi:10.1109/ICDMW69685.2025.00079

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Conference proceeding

FlavorCharter: Development of a Smartphone App for Quantifying Food Flavor

Francesco Botto, Guadalupe Canahuate, Xinhua Zhang, C. David Fuller and G. Elisabeta Marai

IEEE ... International Conference on Data Mining workshops, pp.649-656

11/12/2025

DOI: 10.1109/ICDMW69685.2025.00079

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Abstract

We present the design and development of a crowd-sourced, data-driven approach to quantifying the flavor of specific foods. Our approach leverages an interactive smartphone app with a client-server architecture, and supports future stratified analysis based on dietary and demographic factors. This approach has the potential to document taste loss and to empower patients to describe taste loss symptoms in a more precise, standardized language.

Data Mining

Cancer

Conferences

flavor

head and neck cancer

Neck

taste loss

Details

Title: Subtitle: FlavorCharter: Development of a Smartphone App for Quantifying Food Flavor
Creators: Francesco Botto - University of Illinois Chicago
Guadalupe Canahuate - University of Iowa
Xinhua Zhang - University of Illinois Chicago
C. David Fuller - The University of Texas MD Anderson Cancer Center
G. Elisabeta Marai - University of Illinois Chicago
Resource Type: Conference proceeding
Publication Details: IEEE ... International Conference on Data Mining workshops, pp.649-656
DOI: 10.1109/ICDMW69685.2025.00079
eISSN: 2375-9259
Publisher: IEEE
Grant note: CNS-2320261 / National Science Foundation (10.13039/100000001) R01CA258827 / National Institutes of Health (10.13039/100000002)
Language: English
Date published: 11/12/2025
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9985149522802771

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