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Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

Bruyère Research Institute

$158,400.00

Speech and eye-movements analysis for the remote early detection of diseases associated with aging

FY 2022-23 · 2022-07-01

Summary
Early identification of cognitive decline allows for earlier intervention with appropriate care so that entry to long term care can be delayed. This project explores two non-invasive assessments (eye-tracking and speech patterns) that have potential for cognitive assessment. Specifically, the project will design a system to capture voice and eye-gaze data during tasks, with the goal of detecting speech and oculomotor abnormalities associated with cognitive decline. It will combine the two modalities and leverage multimodal analysis techniques to generate more sensitive predictions. The project will analyze combinations of tasks to achieve the assessment. The project will collect longitudinal data, to allow intra-subject analysis in addition to cross-sectional analysis to validate the performance of the system. The project will lead to a more cost-effective approach for assessment that could be done at home or remotely and that is an alternative to more expensive or invasive diagnostic testing currently being done.
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Location
Ottawa|Ottawa, Ontario, Canada
Recipient Type
Not-for-profit organization or charity
Business Number
119235026
Type
Grant
Source
Proactive Disclosure - Grants and Contributions

As published

Agreement End Date
2025-06-30
Agreement Number
994448
Agreement Start Date
2022-07-01
Agreement Title
Speech and eye-movements analysis for the remote early detection of diseases associated with aging
Agreement Title (French)
Analyse de la parole et des mouvements oculaires pour la détection précoce à distance des maladies du vieillissement
Agreement Type
Grant
Agreement Value
$158,400.00
Amendment Number
0
Description
Early identification of cognitive decline allows for earlier intervention with appropriate care so that entry to long term care can be delayed. This project explores two non-invasive assessments (eye-tracking and speech patterns) that have potential for cognitive assessment. Specifically, the project will design a system to capture voice and eye-gaze data during tasks, with the goal of detecting speech and oculomotor abnormalities associated with cognitive decline. It will combine the two modalities and leverage multimodal analysis techniques to generate more sensitive predictions. The project will analyze combinations of tasks to achieve the assessment. The project will collect longitudinal data, to allow intra-subject analysis in addition to cross-sectional analysis to validate the performance of the system. The project will lead to a more cost-effective approach for assessment that could be done at home or remotely and that is an alternative to more expensive or invasive diagnostic testing currently being done.
Description (French)
Le dépistage précoce du déclin cognitif permet d’intervenir plus tôt et de fournir des soins appropriés afin de retarder l’entrée dans un établissement de soins de longue durée. Ce projet explore deux évaluations non invasives (suivi oculaire et structures de la parole) qui ont un potentiel pour l’évaluation cognitive. Plus précisément, le projet concevra un système pour capturer les données de la voix et du regard pendant des tâches, dans le but de détecter les anomalies de la parole et de l’oculomotricité associées au déclin cognitif. Il combinera les deux modalités et exploitera les techniques d’analyse multimodale pour générer des prédictions plus sensibles. Le projet analysera des combinaisons de tâches pour réaliser l’évaluation. Le projet recueillera des données longitudinales pour permettre une analyse intra-objet en plus de l’analyse transversale afin de valider la performance du système. Le projet débouchera sur une approche plus rentable de l’évaluation, qui pourra être effectuée à domicile ou à distance et qui constituera une solution de rechange aux tests de diagnostic plus coûteux ou invasifs actuellement pratiqués.
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.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Federal Riding
Carleton
Federal Riding (French)
Carleton
Federal Riding Number
35078
NAICS Code
541710
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
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.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Recipient Business Number
11923 5026
Recipient City
Ottawa|Ottawa
Recipient Country
CA
Recipient Legal Name
Bruyère Research Institute
Recipient Postal Code
K1N 5C8
Recipient Province or Territory
ON
Recipient Type
S
Reference Number
172-2022-2023-Q2-994448
Bruyère Research Institute - $158,400 Grant (2022-23) | Canada Spends