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The significance of social relationships in psychological well-being is a well-established area of inquiry within social psychology. Research consistently demonstrates that the presence of meaningful, supportive relationships enhances emotional health, while the absence or deterioration of such connections can contribute to psychological distress. Relationships serve as a foundation for emotional support, identity, and social belonging, all of which are critical to an individual’s overall...
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Self-regulation, also known as self-control, encompasses a range of cognitive and behavioral processes that allow individuals to adjust their internal states and outward actions to align with socially acceptable norms and long-term goals. It plays a fundamental role in adaptive functioning, from resisting impulsive behaviors to persisting through challenging tasks. While its benefits are widely recognized, self-regulation is not limitless. Muraven and Baumeister's theory posits that...
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Related Experiment Video

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Towards A Self Adaptive System for Social Wellness.

Asad Masood Khattak1, Wajahat Ali Khan2, Zeeshan Pervez3

  • 1College of Technological Innovation, Zayed University, 144-534 Abu Dhabi, UAE. asad.khattak@zu.ac.ae.

Sensors (Basel, Switzerland)
|April 19, 2016
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Summary

This study introduces an innovative service using smartphone-recognized daily activities to provide personalized health and lifestyle recommendations for the elderly. The system improves health status by aligning dietary intake with activity information.

Keywords:
activity recognitionchange managementdecision support systemservice recommendationu-healthcare

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Area of Science:

  • Gerontology
  • Health Informatics
  • Artificial Intelligence

Background:

  • Growing need for personalized healthcare and lifestyle services, especially for the elderly.
  • Requirement for patient daily life activity recognition, profile information, and personal experiences for effective recommendations.

Purpose of the Study:

  • To improve the general health and life status of the elderly.
  • To dynamically provision personalized healthcare and life-care services based on recognized daily activities.

Main Methods:

  • Utilizing smartphone-based daily life activity recognition.
  • Employing an ontology-based approach to model activities and patient profiles.
  • Leveraging semantic context and inference mechanisms for situation analysis and recommendations.

Main Results:

  • The proposed system demonstrated higher accuracy compared to existing systems.
  • Experimental results show encouraging performance in dynamic knowledge-base support.
  • The system effectively provides personalized nutrition and activity-related service recommendations.

Conclusions:

  • The ontology-based system effectively supports dynamic knowledge bases and personalized recommendations for elderly care.
  • This approach enhances elderly health and life status through tailored service provisioning.
  • The system offers a promising solution for personalized health and lifestyle management.