Unobtrusive human activity classification based on combined time‐range and time‐frequency domain signatures using ultrawideband radar
Abstract In this proposed approach to unobtrusive human activity classification, a two‐stage machine learning–based algorithm was applied to backscattered ultrawideband radar signals. First, a preprocessing step was applied for noise and clutter suppression. Then, feature extraction and a combinatio...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-10-01
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| Series: | IET Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sil2.12060 |
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