An Intelligent and Privacy-Preserving Digital Twin Model for Aging-in-Place

• URL: http://arxiv.org/abs/2504.03798v1
• Date: Fri, 04 Apr 2025 05:37:08 GMT
• Title: An Intelligent and Privacy-Preserving Digital Twin Model for Aging-in-Place
• Authors: Yongjie Wang, Jonathan Cyril Leung, Ming Chen, Zhiwei Zeng, Benny Toh Hsiang Tan, Yang Qiu, Zhiqi Shen,
• Abstract summary: We propose an unobtrusive sensor system designed for installation in older adults' homes.<n>Using data from the sensors, our system constructs a digital twin, a virtual representation of events and activities that occurred in the home.<n>This digital twin enables continuous health monitoring by providing actionable insights into residents' well-being.
• Score: 10.243093153567463
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The population of older adults is steadily increasing, with a strong preference for aging-in-place rather than moving to care facilities. Consequently, supporting this growing demographic has become a significant global challenge. However, facilitating successful aging-in-place is challenging, requiring consideration of multiple factors such as data privacy, health status monitoring, and living environments to improve health outcomes. In this paper, we propose an unobtrusive sensor system designed for installation in older adults' homes. Using data from the sensors, our system constructs a digital twin, a virtual representation of events and activities that occurred in the home. The system uses neural network models and decision rules to capture residents' activities and living environments. This digital twin enables continuous health monitoring by providing actionable insights into residents' well-being. Our system is designed to be low-cost and privacy-preserving, with the aim of providing green and safe monitoring for the health of older adults. We have successfully deployed our system in two homes over a time period of two months, and our findings demonstrate the feasibility and effectiveness of digital twin technology in supporting independent living for older adults. This study highlights that our system could revolutionize elder care by enabling personalized interventions, such as lifestyle adjustments, medical treatments, or modifications to the residential environment, to enhance health outcomes.

Related papers

• Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study [0.3277163122167433]
  Sensor-based human activity recognition (HAR) enables identification of behavioral changes that clinicians consider as a digital bio-marker of early stages of cognitive decline. The real deployment of sensor-based HAR systems in the homes of elderly subjects poses several challenges, with privacy and ethical concerns being major ones. This paper reports our experience applying privacy by design principles to develop and deploy one of these systems.
  arXiv  Detail & Related papers  (2025-03-27T16:35:55Z)
• Human Digital Twins in Personalized Healthcare: An Overview and Future Perspectives [0.0]
  Digital twins (DTs) are redefining healthcare by paving the way for more personalized, proactive, and intelligent medical interventions.<n>The emerging concept of a Human Digital Twin (HDT) holds the potential to revolutionize the traditional healthcare system.<n>An HDT mirrors the physical entity of a human body through a dynamic virtual model that continuously reflects changes in molecular, physiological, emotional, and lifestyle factors.
  arXiv  Detail & Related papers  (2025-03-15T01:35:27Z)
• Investigating an Intelligent System to Monitor \& Explain Abnormal Activity Patterns of Older Adults [52.40826527071519]
  Despite the growing potential of older adult care technologies, the adoption of these technologies remains challenging.<n>This work conducted a focus-group session with family caregivers to scope designs of the older adult care technology.<n>We developed a high-fidelity prototype and conducted its qualitative study with professional caregivers and older adults.
  arXiv  Detail & Related papers  (2025-01-30T03:21:14Z)
• Digital Twin for Smart Societies: A Catalyst for Inclusive and Accessible Healthcare [0.2153402800940171]
  Digital twins can enable real-time monitoring, simulation, and optimization of urban dynamics.<n>This paper explores the potential of digital twins to promote inclusive healthcare for evolving smart cities.
  arXiv  Detail & Related papers  (2025-01-13T18:57:15Z)
• Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach [55.5769013369398]
  This research pioneers user-centric, privacy-aware technologies such as Federated Learning (FL) FL enables collaborative learning without sharing sensitive data, addressing privacy and scalability issues. This work includes developing solutions for smart wheelchair assistance, enhancing user independence and well-being.
  arXiv  Detail & Related papers  (2024-05-23T13:14:08Z)
• MISO: Monitoring Inactivity of Single Older Adults at Home using RGB-D Technology [5.612499701087411]
  A new application for real-time monitoring of the lack of movement in older adults' own homes is proposed. A lightweight camera monitoring system was developed and piloted in community homes to observe the daily behavior of older adults.
  arXiv  Detail & Related papers  (2023-11-03T21:51:33Z)
• A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications [62.60524178293434]
  The aim of this paper is to investigate the factors that influence user acceptance of mHealth apps. Users' digital literacy has the strongest impact on their willingness to use them, followed by their online habit of sharing personal information. Users' demographic background, such as their country of residence, age, ethnicity, and education, has a significant moderating effect.
  arXiv  Detail & Related papers  (2023-05-10T08:11:21Z)
• In-vehicle alertness monitoring for older adults [63.359033532099204]
  We present a system for in-vehicle alertness monitoring for older adults. We implemented a prototype traveler monitoring system and evaluated the alertness detection algorithm on ten older adults (70 years and older. This study is the first of its kind for a hitherto under-studied population and has implications for future work on algorithm development and system design through participatory methods.
  arXiv  Detail & Related papers  (2022-08-17T06:07:37Z)
• In-Bed Person Monitoring Using Thermal Infrared Sensors [53.561797148529664]
  We use 'Griddy', a prototype with a Panasonic Grid-EYE, a low-resolution infrared thermopile array sensor, which offers more privacy. For this purpose, two datasets were captured, one (480 images) under constant conditions, and a second one (200 images) under different variations. We test three machine learning algorithms: Support Vector Machines (SVM), k-Nearest Neighbors (k-NN) and Neural Network (NN)
  arXiv  Detail & Related papers  (2021-07-16T15:59:07Z)
• Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People [0.0]
  The population of elderly people has been increasing at a rapid rate over the last few decades and their population is expected to further increase in the upcoming future. Their increasing population is associated with their increasing needs due to problems like physical disabilities, cognitive issues, weakened memory and disorganized behavior. This work proposes the framework for an Intelligent Affect Aware environment for elderly people that can not only analyze the affective components of their interactions but also predict their likely user experience.
  arXiv  Detail & Related papers  (2021-06-29T17:34:16Z)
• When Healthcare Meets Off-the-Shelf WiFi: A Non-Wearable and Low-Costs Approach for In-Home Monitoring [6.082774743804399]
  Governments urgently need to improve the quality of healthcare services at lower costs while ensuring the comfort and independence of the elderly. This work presents an in-home monitoring approach based on off-the-shelf WiFi, which is low-costs, non-wearable and makes all-round daily healthcare information available to caregivers. The proposed approach can capture fine-grained human pose figures even through a wall and track detailed respiration status simultaneously by off-the-shelf WiFi devices.
  arXiv  Detail & Related papers  (2020-09-21T09:35:13Z)
• Anxiety Detection Leveraging Mobile Passive Sensing [53.11661460916551]
  Anxiety disorders are the most common class of psychiatric problems affecting both children and adults. Leveraging passive and unobtrusive data collection from smartphones could be a viable alternative to classical methods. eWellness is an experimental mobile application designed to track a full-suite of sensor and user-log data off an individual's device in a continuous and passive manner.
  arXiv  Detail & Related papers  (2020-08-09T20:22:52Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.