Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors
Human activity recognition (HAR) is a classification task for recognizing human movements. Methods of HAR are of great interest as they have become tools for measuring occurrences and durations of human actions, which are the basis of smart assistive technologies and manual processes analysis. Recen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-05-01
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| Series: | Informatics |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2227-9709/5/2/26 |