Intelligent RF-Based Gesture Input Devices Implemented Using e-Textiles†
AbstractWe present an radio-frequency (RF)-based approach to gesture detection and recognition, using e-textile versions of common transmission lines used in microwave circuits. This approach allows for easy fabrication of input swatches that can detect a continuum of finger positions and similarly basic gestures, using a single measurement line. We demonstrate that the swatches can perform gesture detection when under thin layers of cloth or when weatherproofed, providing a high level of versatility not present with other types of approaches. Additionally, using small convolutional neural networks, low-level gestures can be identified with a high level of accuracy using a small, inexpensive microcontroller, allowing for an intelligent fabric that reports only gestures of interest, rather than a simple sensor requiring constant surveillance from an external computing device. The resulting e-textile smart composite has applications in controlling wearable devices by providing a simple, eyes-free mechanism to input simple gestures. View Full-Text
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Hughes, D.; Profita, H.; Radzihovsky, S.; Correll, N. Intelligent RF-Based Gesture Input Devices Implemented Using e-Textiles. Sensors 2017, 17, 219.
Hughes D, Profita H, Radzihovsky S, Correll N. Intelligent RF-Based Gesture Input Devices Implemented Using e-Textiles. Sensors. 2017; 17(2):219.Chicago/Turabian Style
Hughes, Dana; Profita, Halley; Radzihovsky, Sarah; Correll, Nikolaus. 2017. "Intelligent RF-Based Gesture Input Devices Implemented Using e-Textiles." Sensors 17, no. 2: 219.
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