Statistical and Machine Learning Models for Classification of Human Wear and Delivery Days in Accelerometry Data

Statistical and Machine Learning Models for Classification of Human Wear and Delivery Days in Accelerometry Data

Accelerometers are increasingly being used in biomedical research, but the analysis of accelerometry data is often complicated by both the massive size of the datasets and the collection of unwanted data from the process of delivery to study participants. Current methods for removing delivery data i...

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Bibliographic Details
Main Authors: Ryan Moore, Kristin R. Archer, Leena Choi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
accelerometry
statistical learning
machine learning
predictive modeling
neural networks
physical activity
Online Access:https://www.mdpi.com/1424-8220/21/8/2726

Internet

https://www.mdpi.com/1424-8220/21/8/2726

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