Energy efficient system for tactile data decoding using an ultra-low power parallel platform
dc.contributor.author
Magno, Michele
dc.contributor.author
Ibrahim, Ali
dc.contributor.author
Pullini, Antonio
dc.contributor.author
Valle, Maurizio
dc.contributor.author
Benini, Luca
dc.date.accessioned
2018-01-19T13:32:52Z
dc.date.available
2017-12-05T05:30:49Z
dc.date.available
2018-01-19T13:32:52Z
dc.date.issued
2017
dc.identifier.isbn
978-1-5090-6447-2
en_US
dc.identifier.isbn
978-1-5090-6446-5
en_US
dc.identifier.isbn
978-1-5090-6448-9
en_US
dc.identifier.other
10.1109/NGCAS.2017.56
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/217011
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Electronic skin
en_US
dc.subject
parallel ultra low power
en_US
dc.subject
machine learning implementation
en_US
dc.subject
Low power processing
en_US
dc.subject
Wearable devices
en_US
dc.title
Energy efficient system for tactile data decoding using an ultra-low power parallel platform
en_US
dc.type
Conference Paper
dc.date.published
2017-09-28
ethz.book.title
2017 New Generation of CAS (NGCAS)
en_US
ethz.pages.start
17
en_US
ethz.pages.end
20
en_US
ethz.event
New Generation of CAS (NGCAS 2017)
en_US
ethz.event.location
Genova, Italy
en_US
ethz.event.date
September 6-9, 2017
en_US
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
en_US
ethz.date.deposited
2017-12-05T05:30:54Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-01-19T13:32:54Z
ethz.rosetta.lastUpdated
2022-03-28T18:57:01Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Energy%20efficient%20system%20for%20tactile%20data%20decoding%20using%20an%20ultra-low%20power%20parallel%20platform&rft.date=2017&rft.spage=17&rft.epage=20&rft.au=Magno,%20Michele&Ibrahim,%20Ali&Pullini,%20Antonio&Valle,%20Maurizio&Benini,%20Luca&rft.isbn=978-1-5090-6447-2&978-1-5090-6446-5&978-1-5090-6448-9&rft.genre=proceeding&rft_id=info:doi/10.1109/NGCAS.2017.56&rft.btitle=2017%20New%20Generation%20of%20CAS%20(NGCAS)
Files in this item
Files | Size | Format | Open in viewer |
---|---|---|---|
There are no files associated with this item. |
Publication type
-
Conference Paper [35891]