Project Details

[Return to Previous Page]

Tailored Care: Adaptable Digital Twin-based Devices for Enhancing Physical Wellness in Elderly Individuals

Company: REID Lab

Major(s):
Primary: ME
Secondary: BME
Optional: CMPEN, CMPSC, EE, IE

Non-Disclosure Agreement: NO

Intellectual Property: NO

Problem Identification By 2030, 1 in 4 adults in the U.S. will be over the age of 65, presenting a significant challenge for healthcare systems to address the evolving needs of the aging population. As people age, physical abilities such as mobility, balance, and strength naturally decline, which can affect their ability to perform daily activities like walking, sitting, or maintaining proper posture. This decline not only impacts their independence but also their overall health and quality of life. The challenge lies in developing data-driven, adaptive and innovative devices that can help seniors maintain their physical wellness, support their daily activities, and promote independence. These devices also need to provide caregivers and healthcare professionals with real-time data, enabling them to track physical progress, identify early signs of decline, and make data-driven decisions for improved care outcomes. Project Description: This aim this project is for students to design and develop an adaptive device tailored to meet the evolving physical needs of elderly individuals, particularly those requiring enhanced support for mobility and daily activities. The device will integrate a ‘digital twin’—a virtual model that continuously reflects the real-time physical state of the user. Through the use of real-time monitoring, the device will track key metrics such as mobility, posture, and balance, allowing it to detect changes in the user’s physical condition. The system will then leverage this data to automatically adjust and provide personalized support, ensuring that the device adapts to the individual’s specific needs over time. The primary objective is to create a solution that not only aids physical wellness for changing physical requirements of the elderly but also enables healthcare providers and caregivers to monitor the user’s progress, identify potential risks, and make data-driven decisions to enhance care outcomes.