Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm
Background: Detecting of human movements is an important task in various areas such as healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile applications. These applications provide users, doctors and related persons a better understanding about daily physical activi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-01-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294018813692 |