Transfer Learning for Improved Audio-Based Human Activity Recognition
Human activities are accompanied by characteristic sound events, the processing of which might provide valuable information for automated human activity recognition. This paper presents a novel approach addressing the case where one or more human activities are associated with limited audio data, re...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-06-01
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| Series: | Biosensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2079-6374/8/3/60 |