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(微型机电系统)，开辟了新的经济高效的机会，以更深入地了解运动员在户外环境中执行复杂运动学动作时的特殊动力学。这个拟议的项目是帕克在SFU的研究小组和位于温哥华的Recon仪器公司(“Recon”)在不列颠哥伦比亚省温哥华的新合作项目。Recon开发并销售了一种显示系统，用于滑雪和单板滑雪等运动项目中佩戴的护目镜。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，为Recon的仪表式护目镜增加新的功能，例如空中时间(即起飞和着陆之间的持续时间)、水平距离和垂直高度/下降。与目前仅限于使用预先设定的受限区域的基于视频的方法相比，只需戴上护目镜即可不受限制地实时获取这些信息，这将使用户作为一种培训或绩效评估工具大大受益。

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.