Human Activity Recognition on Smartphone: A Classification Analysis
The study hinged on the human activity recognition on smartphones by using the random forests model and Ada Boost model to make the classification. The study compared the classification results of two models and found the AdaBoost model had the better classification results. The study also found the...
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| Main Authors: | , |
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2014-09-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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| Summary: | The study hinged on the human activity recognition on smartphones by using the random forests model and Ada Boost model to make the classification. The study compared the classification results of two models and found the AdaBoost model had the better classification results. The study also found the Ada Boost model had the advantage of less calculation time. |
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| Item Description: | https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3846 |