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논문검색

On the Physical Function Evaluation, Prevention Training, and Cognitive Ability Improvement through the Design of a Healthcare Independence Support System based on Emotional Satisfaction of Senior Users

초록

영어

Recently, social technologies have been created to solve problems from businesses for the establishment of generational solidarity ecosystem in terms of employment, residential space, network and social capital, age, cognitive and environmental aspects. This is senior-friendly healthcare business system aimed at meeting the senior needs for health life to enjoy active consumption culture life even after retirement, becoming a catalyst for minimizing generational conflicts, preventing the cognitive and physical deterioration of seniority in the areas of life healthcare, fitness and well-aging, and expanding into systems necessary for seniority selfreliance. We would like to draw up the development and requirements of the concept of the service platform for the study of collective characteristics for generation solidarity with senior class and the establishment of a customized senior health life system for generation solidarity. This system is characterized by a platform that can prevent the decline of seniors' cognitive and physical functions and enhance emotional stability. It is significant in providing feedback on the risk perception index, fall index, and prevention training index information to the child through the analysis and extraction of the senior health index for risk perception, fall probability, and fall prevention.

목차

Abstract
1. Introduction
2. Intergenerational Solidarity Requirements
2.1 Analysis of Solidarity Policy Ecosystem among Active Senior Generations
2.2 Senior Healthcare Ecosystem Analysis
3. Active Senior Healthy Life System based on Independent Living Support Infrastructure’s Requirements
4. Active Senior Healthy Life System Design based on Independent Living Support Infrastructure
4.1 System Overview
4.2 System Configuration and Design
5. Conclusion
References

저자정보

  • Sang Min Lee Ph. D. Candidate, Department of Systems Engineering, Ajou University, Korea
  • Joo Uk Kim Senior Researcher, Korea Railroad Research Institute, Korea
  • Young Min Kim Associate professor, Department of Systems Engineering, Ajou University, Korea

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