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Unobtrusive Cognitive Assessment in Smart-Homes: Leveraging Visual Encoding and Synthetic Movement Traces Data

Samaneh Zolfaghari1, Annica Kristoffersson1, Mia Folke1

  • 1School of Innovation, Design and Engineering, Division of Intelligent Future Technologies, Mälardalen University, 721 23 Västerås, Sweden.

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|March 13, 2024
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Summary
This summary is machine-generated.

Smart-home sensors detect abnormal indoor movement patterns to identify cognitive decline in older adults. This innovative approach accurately distinguishes between cognitively healthy individuals and those with dementia.

Keywords:
ambient assisted livingambient sensingenvironmental sensorsmachine learningsmart environmentstrajectory miningvisual feature extraction

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Area of Science:

  • Gerontology
  • Artificial Intelligence
  • Biomedical Engineering

Background:

  • Smart-home sensors offer non-intrusive methods for monitoring older adults.
  • Movement traces are increasingly used to detect early signs of cognitive impairment.

Purpose of the Study:

  • To develop an innovative system for identifying cognitive decline in seniors using smart-home sensor data.
  • To analyze indoor movement patterns for early detection of cognitive impairment.

Main Methods:

  • Utilized non-intrusive smart-home sensors (PIR, object-embedded) to collect movement data.
  • Visualized user locomotion traces and object interactions on floor plans.
  • Employed image descriptor features and synthetic minority oversampling techniques for analysis.

Main Results:

  • A functional prototype system was tested on a dataset of 99 seniors.
  • The system achieved a macro-averaged F1-score of 72.22% in distinguishing between cognitively healthy individuals and those with dementia.
  • Demonstrated superior performance compared to existing state-of-the-art methods.

Conclusions:

  • The proposed system effectively identifies cognitive status in seniors through abnormal indoor movement patterns.
  • Smart-home sensor data integration offers a flexible and effective approach for cognitive health assessment.
  • This technology supports independent living and early intervention for cognitive decline.