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Clustering approach to the problem of human activity recognition using motion data

机译:基于运动数据的人类活动识别问题的聚类方法

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This paper describes authors' solution to the task set in AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene (https://knowledgepit.fedcsis.org/contest/view.php?id=106). Method involves LDA classification on a preprocessed time series data with a unique label transformation technique using K-Means clustering. Data were collected from accelerometer and gyroscope readings.
机译:本文介绍了作者针对AAIA'15数据挖掘竞赛:在火场中标记消防员活动(https://knowledgepit.fedcsis.org/contest/view.php?id=106)所设定任务的解决方案。该方法涉及使用K-Means聚类的独特标签转换技术对预处理的时间序列数据进行LDA分类。从加速度计和陀螺仪读数中收集数据。

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