Researchers at NC State University have developed a fabric-based sensor that uses three-dimensional embroidery techniques and machine learning to control electronic devices through touch. Integrated into clothing, this sensor can operate mobile apps and other electronic functions by recognizing various gestures. The device, powered by friction-generated electricity between its two triboelectric materials, sends data to a microchip. This microchip processes inputs using machine learning algorithms to distinguish between intentional gestures and accidental touches, enhancing interaction accuracy.

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