Grants and Contributions

The key objective of the project is to convert CT segmentations into analytic reports that can be triggered concurrently or post-segmentation.

Create a cost effective device to accurately weigh grain as it flows, and measure the moisture content (humidity) of the grain.

The project aims to develop and validate an in-home rehabilitation system which can guide the elderly person through a set of optimized and individualized exercises after a total joint replacement surgery, as well as to monitor for potential serious postoperative complications, such as infections and deep vein thrombosis. To ensure ease-of-use and user?friendly installation, the Project will investigate remote (not attached to the human) and cost-effective sensors technologies, such as 2D and 3D cameras, as well as thermographic cameras for this purpose. Furthermore, algorithms will be developed to detect robustly whole body motions, as well as small joint motions of the elderly user. These information can be used to provide feedback to the user in real-time to ensure the exercises are performed correctly and to the full potential. Furthermore, the newly developed methods will be tested in a preliminary clinical study and compared to state-of-the-art motions tracking methods to ensure practicality, robustness, and accuracy.

The project aims to develop and validate an in-home rehabilitation system which can guide the elderly person through a set of optimized and individualized exercises after a total joint replacement surgery, as well as to monitor for potential serious postoperative complications, such as infections and deep vein thrombosis. To ensure ease-of-use and user?friendly installation, the Project will investigate remote (not attached to the human) and cost-effective sensors technologies, such as 2D and 3D cameras, as well as thermographic cameras for this purpose. Furthermore, algorithms will be developed to detect robustly whole body motions, as well as small joint motions of the elderly user. These information can be used to provide feedback to the user in real-time to ensure the exercises are performed correctly and to the full potential. Furthermore, the newly developed methods will be tested in a preliminary clinical study and compared to state-of-the-art motions tracking methods to ensure practicality, robustness, and accuracy.

Driving cessation for many aging people is associated with a poorer quality of life brought about by the loss of mobility and independence, which ultimately can lead to physical and mental health problems such as depression, social isolation, diminished independence, etc. Connected and automated vehicle (CAV) technologies can provide feasible solutions to help ameliorate this problem. Although fully autonomous driving remains the goal of all involved R&D efforts, advanced driving assistance systems (ADASs) are already deployed at a mass scale that provide enhanced safety and warning systems and even enable partial automated driving. Recent year production vehicles are equipped with many ADAS features such as collision imminent braking systems, blind spot warning, automated lane centering, adaptive cruise control, automated parking, etc. All these features can help delay driving cessation for the aging population by compensating for the decline in cognitive capacity required for safe driving. However, current production ADAS systems do not consider driver behavior and intention. Typical implementations of ADAS systems are reactive in nature in that the safety of driving actions (acceleration and steering) are evaluated against the environment (presence of traffic ahead or in blind spots on adjacent lanes) after the fact. The proposed research aims to build an artificial intelligence (AI) based driver intentionality predictor that will augment and enhance typical ADAS systems to transform their nature from reactive to proactive. Since driver gaze directly correlates with driver intentionality and precedes driving action, this project will utilize a driver gaze monitoring system to develop an AI-based tool to predict driver intentionality and action. Such predictions can be used to provide warning or even enable automated vehicle actions, such as braking, speed reduction, collision avoidance. This will significantly improve driving safety and increase availability of mobility for aging people in the following ways: • The time horizon of conventional ADAS systems will be broadened to better include drivers with sub-optimal cognitive function. • Aging population can postpone driving cessation until much later stages in their lives without compromising their independence and the quality of life.

The air travel industry has historically designed service experiences to meet a typical passenger's needs. Yet the focus on a "typical person" is misguided and limiting as it does not accommodate the diversity of travelers whose needs are not being met. Recently, attention has turned to improve service accessibility and inclusivity to innovate by tailoring product offerings to a broader base of customers. However, making adjustments and accommodations requires rethinking the wide-varying needs and goals of persons with disabilities, especially for conditions that are not immediately noticeable, manifest in various ways or undiagnosed, are misunderstood or stigmatized, or lack advocacy or feelings of identification. Guided by the aims of the Accessible Canada Act, this research aims to eliminate barriers to air travel for persons with cognitive impairments or persons living with dementia. A case study of dementia is appropriate as age is the biggest risk factor for having this disease.

Development of a new type of chain tensioner cartridge

The focus will be on developing and integrating marketing tools within the TrailCollectiv app. The project will also focus on improving user experience, building on existing features to increase marketability, and introducing the next phase of new tech features within the app.

In collaboration with National Metrology Institutes (NMIs) worldwide, including NRC, the BIPM fulfills its mandate of providing the basis for a single, coherent system of measurements throughout the world, traceable to the International System of Units (SI). This mandate is carried out through a series of consultative committees whose members are the national metrology laboratories of the Member States, and through the BIPM’s own laboratory work, which includes carrying out measurement-related research and calibrations in selected areas for some Member States, depending on the technical sophistication of their NMIs. National Metrology Institutes then disseminate measurement standards through calibration services to national scientific, industrial, commercial, and public sector users.

The Canada-France-Hawaii Telescope (CFHT) is a 3.6 meter optical/infrared telescope, located atop the summit of Mauna kea, a 4200 meter, dormant volcano on the island of Hawaii. The CFHT is designed to collect optical and infrared electromagnetic radiation. The CFHT Observatory, consisting of the telescope and its facilities, is jointly funded and operated by Canada, France and the State of Hawaii.