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CNN for human activity recognition on small datasets of acc..:
, In:
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
,
Ito, Chihiro
;
Shuzo, Masaki
;
Maeda, Eisaku
- p. 724-729 , 2019
Link:
https://dl.acm.org/doi/10.1145/3341162.3344868
RT T1 <cTitle>Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>CNN for human activity recognition on small datasets of acceleration and gyro sensors using transfer learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3344868&Exemplar=1&LAN=DE A1 Ito, Chihiro A1 Shuzo, Masaki A1 Maeda, Eisaku PB ACM YR 2019 K1 CNN K1 FFT spectrogram K1 SHL dataset K1 human activity recognition K1 transfer learning K1 Computing methodologies K1 Machine learning K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI design and evaluation methods K1 User models SP 724 OP 729 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3341162.3344868 DO https://dl.acm.org/doi/10.1145/3341162.3344868 SF ELIB - SuUB Bremen
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