Detecting stressful older adults-environment interactions to improve neighbourhood mobility: a multimodal physiological sensing, machine learning, and risk hotspot analysis-based approach

HIGHLIGHTS

  • who: Alex Torku from the Department of Civil Engineering, Surveying and Construction Management, Kingston University London, Penrhyn Road, Kingston upon Thames, Surrey, EE, United Kingdom have published the paper: Detecting stressful older adults-environment interactions to improve neighbourhood mobility: A multimodal physiological sensing, machine learning, and risk hotspot analysis-based approach, in the Journal: (JOURNAL)
  • what: This approach is time and cost-effective because physiological signals can be collected continuously, resulting in a near real-time built environment assessment. The simulation-based approach adopted in this study shows promising results in generating reproducible physiological point . . .

     

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