Robust hydrogel sensors for unsupervised learning enabled sign‐to‐verbal translation
Robust hydrogel sensors for unsupervised learning enabled sign‐to‐verbal translation
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Author / Creator
Ma, Hude , Qin, Haiyang , Xiao, Xiao , Liu, Na , Wang, Shaolei , Li, Junye , Shen, Sophia , Dai, Shuqi , Sun, Mengmeng , Li, Peiyi , Pan, Xiaofang , Huang, Mingjun , Lu, Baoyang , Chen, Jun and Wu, Lidong
Publisher
Melbourne: John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
Melbourne: John Wiley & Sons, Inc
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Scope and Contents
Contents
Highly stretchable and robust strain sensors are rapidly emerging as promising candidates for a diverse of wearable electronics. The main challenge for the practical application of wearable electronics is the energy consumption and device aging. Energy consumption mainly depends on the conductivity of the sensor, and it is a key factor in determini...
Alternative Titles
Full title
Robust hydrogel sensors for unsupervised learning enabled sign‐to‐verbal translation
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_958d2df1dc1947938a2918d4ce8f4229
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_958d2df1dc1947938a2918d4ce8f4229
Other Identifiers
ISSN
2567-3165
E-ISSN
2567-3165
DOI
10.1002/inf2.12419
