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A deep-learned skin sensor decoding the epicentral human motions
- Source :
- Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
- Publication Year :
- 2020
- Publisher :
- Nature Portfolio, 2020.
-
Abstract
- Real-time monitoring human motions normally demands connecting a large number of sensors in a complicated network. To make it simpler, Kim et al. decode the motion of fingers using a flexible sensor attached on wrist that measures skin deformation with the help of a deep-learning architecture.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 11
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.797f526273074c249f4dc388256638d3
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-020-16040-y