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

开发 GPS 辅助 IMU 传感器融合算法，用于基于仪器护目镜的主动运动中跳跃检测

• 批准号: 428825-2011
• 负责人: Park, Edward
• 金额: $ 1.82万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=496381
• 关键词: Development; GPS; aided; IMU; sensor

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.

MEMS（微机电系统）等最先进的微型传感器技术开辟了新的经济高效的机会，可以更深入地了解运动员在户外环境中执行复杂运动时的特定动态。拟议的项目是 SFU Park 的研究小组和不列颠哥伦比亚省温哥华的 Recon Instruments Inc.（“Recon”）之间的一个新的合作项目。 Recon 开发并销售一种用于滑雪和单板滑雪等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，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/落差，为 Recon 的仪器护目镜添加新功能。与当前仅限于使用预设受限区域的基于视频的方法相比，只需佩戴护目镜即可不受限制地实时访问此信息，作为培训或绩效评估工具，将极大地使用户受益。