Clustering Approach to the Problem of Human Activity Recognition using Motion Data

被引：8

作者：

Wawrzyniak, Szymon ^{[1
]}

Niemiro, Wojciech ^{[1
,2
]}

机构：

[1] Nicolaus Copernicus Univ, Torun, Poland

[2] Warsaw Univ, Warsaw, Poland

来源：

PROCEEDINGS OF THE 2015 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS | 2015年 / 5卷

关键词：

D O I：

10.15439/2015F424

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：411 / 416

页数：6

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