Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data

Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data

This study examined the feasibility of a non-laboratory approach that uses machine learning on multimodal sensor data to predict relative physical activity (PA) intensity. A total of 22 participants completed up to 7 PA sessions, where each session comprised 5 trials (sitting and standing, comfortab...

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Bibliographic Details
Main Authors: Alok Kumar Chowdhury, Dian Tjondronegoro, Vinod Chandran, Jinglan Zhang, Stewart G. Trost
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
motion sensors
machine learning
classification
random forest
support vector machine
neural networks
relative physical activity intensity
borg’s rpe
Online Access:https://www.mdpi.com/1424-8220/19/20/4509

Internet

https://www.mdpi.com/1424-8220/19/20/4509

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