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Parallel signal processing and perceptual learning are two essential characteristics of the human somatosensory system. In article number 1906269, inspired by the human somatosensory system, Joo Yong Sim, Jong‐Gwan Yook, Steve Park, and co‐workers report the design of a wireless communication platform that is able to receive and differentiate multiple pressure signals simultaneously. Moreover, convolutional‐neural‐network‐based...
Inspired by the human somatosensory system, pressure applied to multiple pressure sensors is received in parallel and combined into a representative signal pattern, which is subsequently processed using machine learning. The pressure signals are combined using a wireless system, where each sensor is assigned a specific resonant frequency on the reflection coefficient (S11) spectrum, and the applied...
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