Reference number : GC-2017-Q4-00288, amendment number : , agreement type : G, recipient legal name : Cao, Shi (University of Waterloo), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Plus Grants for universities, program name french : Subvention d'engagement partenarial Plus pour les universités, program purpose english : Computer vision technologies have been developed to monitor drivers' behaviours, detecting unsafe events_x000D_
such as fatigue and distraction. Before the technology is released to the public, its accuracy and robustness_x000D_
must be tested with human data collected from a wide range of driver populations and driver conditions. In a_x000D_
recently completed research collaboration (NSERC ENGAGE) between the PI and the company (Omron), a_x000D_
human data collection protocol has been developed and pilot-tested. As a follow-up step, the current project_x000D_
aims to further validate the research protocol with a larger sample size of Canadian drivers. The resulting_x000D_
image database will support the validation of image recognition and driver monitoring systems for the_x000D_
Canadian population. The research will also help address research questions related to driving safety. For_x000D_
example, how to determine the impact of critical driver behaviours on driving safety?, program purpose french : Computer vision technologies have been developed to monitor drivers' behaviours, detecting unsafe events_x000D_
such as fatigue and distraction. Before the technology is released to the public, its accuracy and robustness_x000D_
must be tested with human data collected from a wide range of driver populations and driver conditions. In a_x000D_
recently completed research collaboration (NSERC ENGAGE) between the PI and the company (Omron), a_x000D_
human data collection protocol has been developed and pilot-tested. As a follow-up step, the current project_x000D_
aims to further validate the research protocol with a larger sample size of Canadian drivers. The resulting_x000D_
image database will support the validation of image recognition and driver monitoring systems for the_x000D_
Canadian population. The research will also help address research questions related to driving safety. For_x000D_
example, how to determine the impact of critical driver behaviours on driving safety?, agreement title english : Driver Image Collection Protocol and Database for Driver Monitoring Systems, agreement title french : Driver Image Collection Protocol and Database for Driver Monitoring Systems, agreement number : EGP2, agreement value : 12500.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada