Abstract
A system and method for assessing sunscreen coverage on human skin through multi-modal sensor fusion. The system integrates a thermal imaging module for detecting temperature differentials indicative of sunscreen coverage and potential burn areas, a high-speed optical camera for extracting photoplethysmographic signals that enable pigmentation-independent coverage detection via signal attenuation and burn detection via perfusion correlation, a three-dimensional depth mapping module for generating personalized body models with anatomical region segmentation, and a data fusion engine that spatially registers all sensor data to produce per-region coverage maps. An adaptive guidance system delivers real-time, on-demand, and post-exposure feedback through vocal and visual modalities with adaptive delivery styles for different user types. The system self-calibrates environmentally, supports dual-timescale machine learning for personalization, and enables hands-free operation in both portable smartphone and fixed multi-sensor booth configurations. Applications include recreational sun protection, poolside safety monitoring with staff alerting, and occupational health compliance for outdoor workers.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Zavesky, Eric, "SYSTEM AND METHOD FOR MULTI-MODAL ASSESSMENT OF TOPICAL SUBSTANCE COVERAGE AND SKIN DAMAGE ON BODY SURFACES", Technical Disclosure Commons, (July 28, 2026)
https://www.tdcommons.org/dpubs_series/11203