Development of a GPS aided IMU sensor fusion algorithm for instrumented goggle-based detection of jumping in active sports

最先进的微型传感器技术，如MEMS（微机电系统），开辟了新的具有成本效益的机会，以更深入地了解运动员在户外环境中进行复杂运动学运动时的特定动态。拟议中的项目是公园的研究小组在SFU和侦察仪器公司之间的一个新的合作项目。（“侦察”）在温哥华，不列颠哥伦比亚省。Recon开发和销售一种用于滑雪和滑雪板等活跃运动中佩戴的护目镜的显示系统。拟议项目的目的是通过提供与跳跃相关的关键性能变量的实时测量，如飞行时间（即起飞和着陆之间的持续时间），水平距离和垂直高度/下降，为Recon的仪表护目镜增加新的功能。与当前基于视频的方法限于使用预设的受限区域相比，通过简单地佩戴护目镜实时地不受约束地访问该信息将极大地有益于用户作为训练或性能评估工具。

State-of-the-art miniature sensor technology such as MEMS (microelectromechanical systems) has opened up new cost-effective opportunities to gain deeper insight into the particular dynamics of athletes as they perform complex kinematic motions in the outdoor environment. The proposed project is a new collaborative venture between Park's research group at SFU and Recon Instruments Inc. ("Recon") in Vancouver, BC. Recon develops and markets a display system for goggles worn in active sports such as skiing and snowboarding. The aim of the proposed project is to add novel capabilities to Recon's instrumented goggles by providing real-time measurements of key performance variables associated with jumping, such as airtime (i.e. the time duration between taking-off and landing), horizontal distance, and vertical height/drop. As compared to the current video-based approaches restricted to the use of pre-set confined areas, the unconstrained accessibility of this information in real-time by simply wearing the goggles will greatly benefit the user as a training or performance evaluation tool.