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Continuing Care01:25

Continuing Care

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Continuing care describes the variety of health, personal, and social services provided over a prolonged period. The need for continuing care is increasing because people are living longer. Many people do not have families or others to care for them. Continuing care is mainly for patients who are disabled, functionally dependent, or suffering from a terminal disease. It is available within institutional settings or in homes. Examples include nursing centers or facilities, assisted living,...
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Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
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Towards Richer Assisted Living Environments.

Paulo A Condado1, Fernando G Lobo2, Tiago Carita3

  • 1Center for Environmental and Sustainability Research, NOVA School of Science and Technology, NOVA University Lisbon, Campus de Caparica, 2829-516 Caparica, Portugal.

SN Computer Science
|December 13, 2021
PubMed
Summary

This research introduces an affordable robotic system using AI and HCI to enhance assisted living. The robot assists with daily tasks, promotes social interaction, and ensures safety for individuals with disabilities and older adults.

Keywords:
Artificial intelligenceAssistive technologiesDomoticsHuman–machine interactionLow-cost roboticsTelepresence

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Area of Science:

  • Robotics and Artificial Intelligence
  • Human-Computer Interaction
  • Assisted Living Technologies

Background:

  • Growing need for support systems for people with disabilities and older adults.
  • Limitations of current assistive technologies in providing comprehensive daily support.
  • Importance of integrating technology into home environments for enhanced safety and social interaction.

Purpose of the Study:

  • To design and develop an inexpensive robotic solution for assisted living environments.
  • To explore the integration of robotics, artificial intelligence (AI), and human-computer interaction (HCI) for enriched daily living.
  • To enhance the independence, safety, and social engagement of individuals in assisted living settings.

Main Methods:

  • Development of an affordable robotic platform.
  • Implementation of AI algorithms for inhabitant recognition, emotion detection, and abnormal situation detection (e.g., falls).
  • Integration of HCI methods for intuitive user control and interaction.
  • System designed for local network operation with a focus on privacy and data protection.

Main Results:

  • A functional robotic system capable of assisting with daily activities.
  • Demonstrated ability to recognize inhabitants, their emotions, and detect critical events like falls.
  • The system operates locally, ensuring user privacy and data security.
  • Potential for use as a remote-controlled surveillance system and personal assistant.

Conclusions:

  • Inexpensive robotics, AI, and HCI can significantly enrich assisted living environments.
  • The developed robotic solution offers a promising approach to support individuals with disabilities and older adults.
  • The system addresses key concerns of privacy and data protection in assistive technology.