论文部分内容阅读
基于多传感器训练信息融合分析技术是当前科学化训练的前沿技术。多传感器训练监控可以避免单一传感器监控训练的局限性,获取更多的训练信息,提高训练监控的准确度。本研究综合应用系统分析法、多源信息融合法等研究方法,研制了一套可以采集皮划艇训练视频信息、桨频信息、成绩信息和个人机能信息的皮划艇训练集成分析系统,并利用系统进行了皮划艇训练多源信息融合方法、策略和应用的研究。该系统在国家皮划艇队进行了初步应用,结果表明,基于多传感器的皮划艇信息融合分析技术对于解决皮划艇训练信息的协同利用,提高训练效果评估等难题具有现实的意义,该技术有助于皮划艇训练信息资源的共享和充分利用,提高皮划艇训练监控水平。
Multi-sensor training information fusion analysis technology is the cutting-edge technology of scientific training. Multi-sensor training monitoring can avoid the limitations of single-sensor monitoring training, obtain more training information and improve the accuracy of training monitoring. In this study, a systematic integrated analysis system for kayaking training, which can collect video information, pitch information, grade information and personal performance information of canoe training, is developed by systematically applying the methods of system analysis and multi-source information fusion. The systematic research on the method, strategy and application of kayaking training multi-source information fusion is carried out. The results show that the multi-sensor-based kayaking information fusion analysis technology has practical significance to solve the problem of coordinated utilization of kayaking training information and training evaluation. Technology helps to share and make full use of kayaking training information resources and improve the level of kayaking training monitoring.