End-to-End Optimization of High-Density e-Skin Design: From Spiking Taxel Readout to Texture Classification

dc.contributor.author	Wang, Jiaqi
dc.contributor.author	Alea, Mark Daniel
dc.contributor.author	Van Assche, Jonah
dc.contributor.author	Gielen, Georges
dc.contributor.imecauthor	Gielen, Georges
dc.date.accessioned	2024-04-10T09:32:57Z
dc.date.available	2023-08-19T18:10:05Z
dc.date.available	2024-04-10T09:32:57Z
dc.date.issued	2023
dc.description.wosFundingText	The authors would like to thank Ali Safa of imec and KU Leuven for sharing his insights. This work has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 861166.
dc.identifier.eisbn	979-8-3503-9624-9
dc.identifier.issn	1530-1591
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/42359
dc.publisher	IEEE
dc.source.conference	Design, Automation and Test in Europe Conference and Exhibition (DATE)
dc.source.conferencedate	APR 17-19, 2023
dc.source.conferencelocation	Antwerp
dc.source.journal	N/A
dc.source.numberofpages	6
dc.subject.keywords	SYSTEM
dc.title	End-to-End Optimization of High-Density e-Skin Design: From Spiking Taxel Readout to Texture Classification
dc.type	Proceedings paper
dspace.entity.type	Publication
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