Multi-Sensor Smart Eyewear for Biomarkers Acquisition
Author(s) -
Ilaria Crupi,
Alice Scandelli,
Andrea Giudici,
Giacomo Gervasoni,
Diana Trojaniello,
Federica Villa
Publication year - 2025
Publication title -
ieee sensors journal
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.681
H-Index - 121
eISSN - 1558-1748
pISSN - 1530-437X
DOI - 10.1109/jsen.2025.3614692
Subject(s) - signal processing and analysis , communication, networking and broadcast technologies , components, circuits, devices and systems , robotics and control systems
The rapid evolution of smart eyewear technologies is opening new frontiers across various fields. Thanks to their proximity to highly vascularized facial areas and access to all five senses, smart glasses offer a unique opportunity to acquire key physiological and behavioral biomarkers, enabling health monitoring while preserving wearability. In particular, the proposed system targets cardiorespiratory parameters (such as heart rate and blood oxygen saturation) and activity monitoring (such as gait analysis and human activity recognition). This work presents the development of a multi-sensor platform able to acquire different biomedical signals, designed to be embedded into a regular eyewear prototype. This standalone system is powered by a 200 mAh 3.7V LiPo battery and comprises 3 printed circuit boards that integrate sensors for photoplethysmography, electrocardiography, inertial measurements and capacitive sensing. The device also performs local data storage and wireless data transmission, allowing for flexible use in offline data collection as well as real-time communication with external systems. Two use-cases are presented to demonstrate the device ability to continuously capture physiological signals for approximately 8 hours and to extract health-related metrics in real time, validating its use for real-life applications in continuous health monitoring.
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