Innovative Sensors for Fatigue Monitoring

Researchers at the University of California, Los Angeles, have developed a groundbreaking soft autonomous sensor that attaches to the eyelid and tracks eye movements to assess human fatigue levels. This information is reported by NotebookCheck, referencing Tech Xplore.

The device, detailed in the journal Nature, combines a new type of sensor with an artificial intelligence algorithm that analyzes data in real-time.

Test results indicate a measurement accuracy of 96.4%. The technology is based on a discovery made by the same team in 2021 regarding a giant magnetoelastic effect in soft materials. This effect allows a polymer composite to convert mechanical pressure from eyelid movement into magnetic and then electrical signals.

The sensor's design includes a layer of silicone rubber embedded with micromagnets and a thin conductive gold coil printed on a thermoplastic elastomer. The device is stretchable, waterproof, and designed for direct wear on the eyelid. It converts eye movements into high-precision signals processed by a neural network.

The algorithm assesses six blinking parameters to determine the user's fatigue level. The developers note that discovering the magnetoelastic effect in soft systems holds significant scientific potential that remains to be fully explored.