Random Search One Dimensional CNN for Human Activity Recognition
Due to its wide application, human activity recognition (HAR) has become a common subject for research specially with the development of deep learning. Many researchers believe that deep convolutional neural networks (DCNN) are ideal for feature extraction from signal inputs. This has gained widespr...
| Main Authors: | Ragab, M.G., Abdulkadir, S.J., Aziz, N. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29866 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097527406&doi=10.1109%2fICCI51257.2020.9247810&partnerID=40&md5=7762fae795581ecdd347722b0cc00e80 http://eprints.utp.edu.my/29866/ |
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