An Innovative Random-Forest-Based Model to Assess the Health Impacts of Regular Commuting Using Non-Invasive Wearable Sensors

An Innovative Random-Forest-Based Model to Assess the Health Impacts of Regular Commuting Using Non-Invasive Wearable Sensors

Regular commutes to work can cause chronic stress, which in turn can cause a physical and emotional reaction. The recognition of mental stress in its earliest stages is very necessary for effective clinical treatment. This study investigated the impact of commuting on human health based on qualitati...

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Bibliographic Details
Main Authors: Mhd Saeed Sharif, Madhav Raj Theeng Tamang, Cynthia H. Y. Fu, Aaron Baker, Ahmed Ibrahim Alzahrani, Nasser Alalwan
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
EEG sensors
stress assessment
blood pressure
commuting
wearable sensors
predictive models
Online Access:https://www.mdpi.com/1424-8220/23/6/3274

Internet

https://www.mdpi.com/1424-8220/23/6/3274

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