Grants and Contributions:
Title:
Conditional pattern detection for the advanced analysis of movement and activities of daily living
Agreement Number:
1000933
Agreement Value:
$118,690.00
Agreement Date:
Feb 1, 2023 - Jun 30, 2026
Description:
Falls and accidents are the leading cause for injury-related hospitalizations among Canadian seniors, and often become a main obstacle to independent living. Falls are often caused by a combination of multiple factors. For example, a decline in vision in combination with limited mobility due to arthritis might contribute to a stumble over a carpet edge. To prevent falls, the person-specific risk factors need to be addressed as early as possible. Commonly, movement and activity assessments for fall predictions are performed in clinics or emergency departments and therefore provide only single snapshots of the person’s movement pattern. This method has limited ability to detect small changes in mobility and movement patterns.
The aim of this project is to investigate fully automatic methods to detect multifactorial falls in an in-home environment. Data from different in-home sensors, such as cameras or movement detectors, will be used to analyze movement and activity patterns for each inhabitant of the household to detect abnormalities related to an increased risk of falling or accidents. Output of these methods can support early targeted interventions, with a possible decrease of the number of falls of seniors living in community dwellings. Therefore, the project has the potential to reduce fall-related premature nursing home admission, which is in alignment with the overall objective of the AiP Challenge Program.
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:
Fredericton, New Brunswick, CA E3B 5A3
Reference Number:
172-2022-2023-Q4-1000933
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
108162025
Recipient Type:
Academia
Additional Information:
This agreement has been amended 2 time(s). The end date of this agreement has been modified by 181 days.
Amendment Date
Dec 18, 2025
Recipient's Legal Name:
The University of New Brunswick
Federal Riding Name:
Fredericton--Oromocto
Federal Riding Number:
13003
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
Amendments: