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Empowering People with Disabilities in Smart Homes Using Predictive Informing.

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  • 1University of Zagreb, Faculty of Transport and Traffic Sciences, Vukelićeva 4, 10000 Zagreb, Croatia.

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This summary is machine-generated.

This study explores smart home technology for people with disabilities, using artificial intelligence (AI) and machine learning (ML) to predict needs and enhance daily living. The research proposes a mathematical model for personalized assistive environments.

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accessibilityambient assisted livingartificial intelligenceassistive technologynavigation

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Area of Science:

  • Assistive Technology
  • Smart Home Environments
  • Artificial Intelligence

Background:

  • Investigating Ambient Assisted Living (AAL) and Enhanced Living Environments (ELE) in smart homes.
  • Focusing on improving accessibility and quality of life for individuals with disabilities.
  • Addressing the need for personalized and adaptive living spaces.

Purpose of the Study:

  • To explore the potential of smart home technology for people with disabilities.
  • To develop a conceptual mathematical model for predictive user information.
  • To define a taxonomy of smart home components and their interactions.

Main Methods:

  • Utilizing artificial intelligence (AI) and machine learning (ML) systems.
  • Analyzing user preferences, habits, and potential incident data.
  • Proposing a conceptual mathematical model for data analysis and prediction.
  • Defining a taxonomy of communication technologies, devices, and sensors.

Main Results:

  • A conceptual mathematical model for generating predictive user information was proposed.
  • A taxonomy of smart home technologies and their interactions was defined.
  • The integration of assistive technologies can adapt homes for diverse user needs.

Conclusions:

  • Smart home environments with AI/ML can significantly enhance the lives of people with disabilities.
  • Established data sets are crucial for future AI and ML model development.
  • The proposed model provides a foundation for personalized assistive living environments.