Wireless Communication: Parallel Signal Processing of a Wireless Pressure‐Sensing Platform Combined with Machine‐Learning‐Based Cognition, Inspired by the Human Somatosensory System (Adv. Mater. 8/2020)

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 platfo...

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Bibliographic Details
Published in:Advanced materials (Weinheim) 2020-02, Vol.32 (8), p.n/a
Main Authors: Lee, Gun‐Hee, Park, Jin‐Kwan, Byun, Junyoung, Yang, Jun Chang, Kwon, Se Young, Kim, Chobi, Jang, Chorom, Sim, Joo Yong, Yook, Jong‐Gwan, Park, Steve
Format: Article
Language:English
Subjects:
Cognition
electronic skin
Human performance
LC passive resonators
Machine learning
Optimization
parallel signal processing
pressure sensors
Signal processing
Wireless communications
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Summary: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 machine learning, mimicking human cognition ability, is implemented for the further optimization of the signal processing.
ISSN:0935-9648
1521-4095
DOI:10.1002/adma.202070055