A Comparative Study on the Influence of Undersampling and Oversampling Techniques for the Classification of Physical Activities Using an Imbalanced Accelerometer Dataset

A Comparative Study on the Influence of Undersampling and Oversampling Techniques for the Classification of Physical Activities Using an Imbalanced Accelerometer Dataset

Accelerometer data collected from wearable devices have recently been used to monitor physical activities (PAs) in daily life. While the intensity of PAs can be distinguished with a cut-off approach, it is important to discriminate different behaviors with similar accelerometry patterns to estimate...

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Bibliographic Details
Main Authors: Dong-Hwa Jeong, Se-Eun Kim, Woo-Hyeok Choi, Seong-Ho Ahn
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Healthcare
Subjects:
physical activity
accelerometer
ensemble method
random forest
bootstrap aggregating (bagging)
adaptive boosting
Online Access:https://www.mdpi.com/2227-9032/10/7/1255

Internet

https://www.mdpi.com/2227-9032/10/7/1255

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