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). Issue 8 (24th February 2020)

• Record Type: Journal Article
• 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
• Is Part Of: Advanced materials. Volume 32:Issue 8(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-02-24
• Subjects: electronic skin -- LC passive resonators -- machine learning -- parallel signal processing -- pressure sensors; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adma.202070055
• Languages: English
• ISSNs: 0935-9648

Abstract

Abstract : 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.