Enhanced Conditional Generative Adversarial Network For Handling Subject Variability In Human Activity Recognition
While splitting datasets, researchers assume that training set is exchangeable with test set and expect good classification performance. This assumption is invalid due to subject variability due to age differences. Classification models trained on activity data from one particular age group such as...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.usm.my/60094/1/ALI%20OLOW%20JIMALE%20-%20TESIS%20cut.pdf |
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