An innovative random-forest-based model to assess the health impacts of regular commuting using non-invasive wearable sensors

HIGHLIGHTS

  • who: Mhd Saeed Sharif and colleagues from the Intelligent Technologies Research Group, ACE, UEL, University Way, London , RD, UK have published the research work: An Innovative Random-Forest-Based Model to Assess the Health Impacts of Regular Commuting Using Non-Invasive Wearable Sensors, in the Journal: Sensors 2023, 3274 of /2023/
  • what: This study investigated the impact of commuting on human health on qualitative and quantitative measures. For EEG waves the model shows that the EEG beta low power exceeded alpha low power after the commute. The study discovered that when commuting time exceeded 6 . . .

     

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