Researchers at Brazil's Federal University of Espirito Santo have developed polymer optical fiber smart pants that can track the wearer's movements and alert clinicians and caregivers if signs of distress are detected.
The researchers incorporated polymethyl methacrylate optical fiber sensors into the fabric of the pants, as well as a multiplexed sensor system with 30 measurement points per leg and a machine learning algorithm that classifies activity types and gait parameters using the sensor data.
The system proved 100% accurate in remotely classifying slow and fast walking, squatting, sitting on a chair or the floor, and front and back kicking.
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