%0 Journal Article
%T 基于多传感器的皮划艇训练信息融合分析系统的研究<br>Training Information Fusion Analysis System of Multi-Sensor Canoeing
%A 孙晋海
%A 王家宏
%A 马运超
%A 刘翔
%J 北京体育大学学报
%D 2015
%R 10.19582/j.cnki.11-3785/g8.2015.05.020
%X 摘要：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。<br>Abstract: Multi-sensor information fusion technology is a leading training analysis technology at present. Multi-sensor training monitoring can avoid limitation of single sensor, acquire more training information, and prove accuracy of training monitoring. This study developed canoeing training fusion analysis system which can collect contains video information, paddle-frequency information, score information, personal energize information by the methods of systematic analysis, multi-source information fusion, system development, empirical analysis. On this basis, this paper analyzed this system’s method, strategy and application and used it in national canoeing team. The result showed that multi-sensor canoeing information fusion analysis system can solve the usage of training information, improve training prediction accuracy, and benefit the sharing and usage of training information. The system also can improve training monitoring level
%K canoeing training monitoring multi-sensor information fusion
%U http://xuebao.bsu.edu.cn/ch/reader/view_abstract.aspx?file_no=20150520&flag=1