Grants and Contributions:
Title:
Nutrient sensing and screening powered by machine learning for reduced frailty risk
Agreement Number:
988491
Agreement Value:
$363,000.00
Agreement Date:
Mar 25, 2022 - Apr 30, 2025
Description:
The project aims to develop technology to support aging in place through an integrated decision support for health and safety. A new nutritional tracking system will be developed, which leverages machine learning and computer vision algorithms to specifically reduce frailty risk and age-related muscle loss (sarcopenia) in elderly people. In particular, sources of protein, vitamin D and calcium as well as estimated intake of these nutrients will be analyzed. To this end, an e-screening tool for self-management and risk assessment will be developed along with machine learning methods to estimate both food volume and intake. To evaluate this intelligent tracking system, a food intake dataset including food weights, volume, amount intake, and image sensor measurements will be created over the course of the project. The project is a foundational step toward a longer-term project to work with older adults to facilitate aging in place by assessing and monitoring their food intake with their doctor/dietitian.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Waterloo, Ontario, CA N2L 3G1
Reference Number:
172-2021-2022-Q4-988491
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119260685
Recipient Type:
Academia
Recipient's Legal Name:
University of Waterloo
Federal Riding Name:
Waterloo
Federal Riding Number:
35112
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710