This project represents the initial step in a larger project, the development of a “Healthy Body Scorecard” which will allow for more comprehensive and holistic approach to measurement and classification of health in children. This particular project will involve an in depth review of current literature in order to identify the various forms of health measurement and the factors and behaviors associated with each. This project as a whole will be of significant benefit to the Sandbox Project and McDonalds Restaurants of Canada, the industry partner for this research.
Currently, the staff of the Canadian Centre for Ethics in Sport (CCES) is uncertain of how Canadian athletes, coaches, and members of the Canadian sport community perceives their efforts and programs. This research will identify if the current policies and procedures for anti-doping rule violations reflect the CCES in a positive (advocate for athletes and Canadian sport) or negative (enforcer of rules) role. This proposed research looks to examine how stakeholders view the role of CCES and whether or not their perceptions of the CCES are positive or negative.
One of music education's major concerns is the challenge of motivating students to continue learning the piano. A high percentage of young students stop piano lessons within the first 18 months, before they begin to master the instrument (Sloboda and Howe, 1991). This research will measure young piano students' degree of motivation and their interest in piano-related activities by using the Survey of Musical Interest. Participants will be from the Merriam School of Music, which has agreed to be involved in this research project.
This research intends to acquire a better understanding of driver behaviour, fuel consumption and the greenhouse gas emissions associated with the operation of ski resort fleet. Twenty‐six light and medium duty vehicles at ski resorts will be equipped with an onboard logging device that records electronic engine data (i.e.: idle time, distance travelled, highest speed, fuel efficiency, fuel cost, hard braking and acceleration thresholds) over an 8 month period.
This project aims to develop mathematical models, resolution algorithms, and a decision support tool for the development of game schedules for university sports in Quebec such as football, soccer, volleyball and basketball.
This project aims at performance modelling of athletes and involves the collection of detailed data that affects rider performance in professional cycling. This data is utilized for assessment of training and performance and for supporting individual training schedules through modelling and profiling of individual athletes. The methodology is based on pattern discovery and recognition using Self Organizing Maps, an exploratory data analysis model of demonstrated success in automated monitoring tasks involving multiple parameters.