Sensor-based Detection of Neurocognitive Disorders in a Virtual Environment: An Intelligent Approach

Neurocognitive disorders like Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease have become more common in recent years, affecting many adults worldwide. However, current diagnosis methods rely heavily on lengthy interviews and paper-based surveys, which can be subjective and often require further assessments by healthcare professionals. To address this issue, there is a need for sensor-based quantitative methods that can accurately assess neurocognitive disorders. Virtual Reality (VR) is a new technology that can provide remote healthcare in a safe and controlled environment. This paper presents an AI-driven VR system that uses embedded sensors to collect physiological and speech signals for quantitative assessment of neurocognitive disorders. The system uses advanced algorithms to analyze linguistic patterns and emotion dynamics from speech and physiological signals, respectively. These models are then integrated into a VR environment to create a virtual mental health clinic. Initial results show that this approach is effective in identifying statistically significant differences between healthy individuals and those with a neurocognitive disorder. The proposed AI-driven VR system is a promising telemedicine approach that could significantly improve population health by providing a new and innovative way to assess neurocognitive disorders in real time.

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Work Title Sensor-based Detection of Neurocognitive Disorders in a Virtual Environment: An Intelligent Approach
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Open Access
Creators
  1. Kevin Mekulu
  2. Haedong Kim
  3. Faisal Aqlan
  4. Hui Yang
License In Copyright (Rights Reserved)
Work Type Poster
Acknowledgments
  1. Penn State Center of Health Organization Transformation (CHOT)
  2. National Science Foundation (NSF)
Publication Date 2023
Deposited April 10, 2023

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Version 1
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  • Updated Acknowledgments Show Changes
    Acknowledgments
    • Penn State Center of Health Organization Transformation (CHOT), National Science Foundation (NSF)
  • Added Creator Kevin Mekulu
  • Added Creator Haedong Kim
  • Added Creator Hui Yang
  • Added GRE 2023 (Resized).pdf
  • Updated License Show Changes
    License
    • https://rightsstatements.org/page/InC/1.0/
  • Published
  • Updated Creator Hui Yang
  • Added Creator Faisal Aqlan
  • Updated