HomeElectronics NewsWearable Sensor Tracks Fatigue In Real Time

Wearable Sensor Tracks Fatigue In Real Time

A tiny wearable device can tell when you are tired by tracking your blinks. Can it help keep people safe and healthy every day?

Photograph of the team's sensor mounted on a human eyelid show a conformal interface with the eyelid tissue when the eye is closed. Credit: Jun Chen Lab/UCLA.
Photograph of the team’s sensor mounted on a human eyelid show a conformal interface with the eyelid tissue when the eye is closed. Credit: Jun Chen Lab/UCLA.

Researchers at UCLA have developed a wearable sensor that can reliably measure fatigue in real time outside laboratory settings. The device tracks blinking patterns, detecting changes in eyelid movements to monitor mental performance drops caused by stress, lack of sleep, or overactivity. This approach provides a practical alternative to existing fatigue measurements, which rely on subjective questionnaires, EEG, or camera systems and often work only in controlled lab environments.

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The soft sensor attaches gently to the eyelid like a second skin. It is stretchable, battery-free, and converts every blink into electrical signals for real-time monitoring. A conductive gold coil on a thin thermoplastic elastomer sits atop a magnetoelastic film filled with tiny magnets. Each blink produces mechanical stress that alters the material’s magnetic properties, which the device translates into data. The fully wearable system includes onboard wireless transmission, enabling use in everyday settings such as roads, classrooms, or workplaces.

Magnetic sensing was chosen for its resilience to humidity and water exposure, addressing a key limitation of conventional bioelectronic devices. The team demonstrated a giant magnetoelastic effect in soft polymer composites for the first time, allowing small biomechanical pressures—like blinking or heartbeat—to generate measurable magnetic changes. This effect reduces the pressure threshold required for sensing from 10 MPa to around 10 kPa, enabling soft, reliable bioelectronics.

The underlying technology also supports a soft magnetoelastic generator (MEG), creating a platform for body-powered, intrinsically waterproof devices. Beyond fatigue monitoring, this system can track heart rate, breathing, respiration, muscle activity, environmental conditions, and could even harvest energy from wind or water waves.

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The discovery of giant magnetoelastic effects in soft systems opens possibilities for energy harvesting, sensing, therapeutic applications, and human-machine interfaces. Researchers are continuing to refine the fatigue sensor for commercial use while exploring broader applications of this technology, aiming to develop practical, responsive bioelectronic devices that integrate seamlessly into daily life.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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