Smart Sensors and Smart Fit: Analysis of Ice Hockey Equipment and Player Performance

Bauer Hockey Ltd.（Bauer）与麦吉尔大学冰球研究小组（IHRG）的研究人员合作，提出了一系列研究，以开发智能传感器，供球员佩戴和/或集成在冰球设备中，以确定球员的最佳性能指标和智能适配技术，以优化和定制头盔，以适应个人头部形状的人体测量学。这项雄心勃勃的五年合作计划将为鲍尔提供独特的性能测量工具，以增强其产品的设计、材料和制造性能，实现最佳功能，并为冰球界的教练和运动员提供加强培训的机会。我们的目标是探索使用真实的-时间智能传感器技术，以跟踪球员的身体和设备的功能力学的冰球滑冰，坚持和接触技能，以及，进一步开发智能适合工具，以评估最佳的头部到头盔的接口。这些研究将提供鲍尔在加拿大的研发所需的有意义的用户/产品特定信息，以提高公司的竞争市场优势，有助于场内和场外体育分析产品的研究，以及生成可访问的实时工具和知识，以加强运动员培训，技能发展和降低受伤风险。 HQP将与鲍尔研发部门在特定项目上密切合作（从项目概念开始、原型传感器设计、制造、编程数据存储、检索、分析、报告、现场测试以及研究设计，以获得用户的性能测量规范和分布）。该研究计划将使研究生的论文实习与分布在5年内的一系列项目保持一致。

Bauer Hockey Ltd. (Bauer) in partnership with researchers at McGill University's Ice Hockey Research Group (IHRG) propose a series of studies to develop Smart Sensors to be worn by players and/or incorporated within ice hockey equipment to identify players' optimal performance metrics and Smart Fit technologies to optimize and customize helmets to individual head shape anthropometrics. This ambitious five-year collaborative proposal will provide unique performance measurement tools to Bauer to augment their products' design, material and manufacturing properties for optimal function as well as to offer coaches and athletes in the ice hockey community to enhance training.Specifically, our goals are to explore the feasibility and accuracy of using real-time Smart Sensor technologies to track players' body and equipment's function mechanics for ice hockey skating, stick and contact skills, as well as, further develop Smart Fit tools to assess optimal head-to-helmet interface. These studies will provide meaningful user / product specific information needed by Bauer's R&D in Canada to improve their company's competitive market edge, contribute to on-field and off-field sports analytic goods research, as well as generate accessible, real-time tools and knowledge to enhance athlete training, skill development and injury risk reduction. HQP will work closely with Bauer R&D on specific projects (from project concept inception, prototype sensor designs, fabrication, programing data storage, retrieval, analysis, reporting, field testing, as well as research designs to obtain users' performance measure norms and distributions). The research plan will align graduate students' thesis residency with a series of projects distributed over a 5 year period.