An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications

Thumbnail
Metadata only
Author
Osta, Mario
Ibrahim, Ali
Magno, Michele
Eggimann, Manuel
Pullini, Antoniocc
Gastaldo, Paolo
Valle, Maurizio
Show all
Date
2019
Type
    Conference Paper
Publication status
published
External links
Book title
Proceedings of the 2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Pages / Article No.
8702113
Publisher
IEEE
Event
IEEE International Symposium on Circuits and Systems (ISCAS 2019), Sapporo, Japan, May 26-29, 2019
Subject
Touch Modality Classification; Energy Efficient Embedded Machine Learning; Parallel Ultra Low Power Platform
More
Show all metadata
ETH Bibliography
yes
Altmetrics