Classification of basic daily movements using a triaxial accelerometer
Classification of basic daily movements using a triaxial accelerometer
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DOI：
10.1007/bf02347551
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发表时间：
2004-09-01
影响因子：
3.2
通讯作者：
Coster, ACF
中科院分区：
文献类型：
--
作者：
Mathie, MJ;Celler, BG;Coster, ACF
介绍了一种使用加速度监测系统对人体运动进行自动分类的通用框架。该框架的结构围绕一个二叉决策树，运动被划分为不同层次的类和子类。运动之间的一般区别被应用在最高层次，并在树的较低层次中进行更详细的子分类。它的结构是模块化和灵活的：树的部分可以重新排序，修剪或扩展，而树的其余部分不受影响。这个框架被用来开发一个分类器，以确定从一个单一的，腰上安装的三轴加速度计获得的信号的基本运动。动作首先分为活动和休息。这些活动被分类为福尔斯、行走、姿势方向之间的转换或其他运动。休息时的姿势定向分为坐、立、卧。在26名正常健康受试者进行一组基本动作的对照实验室研究中，每种分类的敏感性均超过87%，特异性超过94%;系统的总体准确性，以跨层次结构的所有级别的正确分类的数量来衡量，在1309个动作的数据集上，灵敏度为97.7%，特异性为98.7%。
A generic framework for the automated classification of human movements using an accelerometry monitoring system is introduced. The framework was structured around a binary decision tree in which movements were divided into classes and subclasses at different hierarchical levels. General distinctions between movements were applied in the top levels, and successively more detailed subclassifications were made in the lower levels of the tree. The structure was modular and flexible: parts of the tree could be reordered, pruned or extended, without the remainder of the tree being affected. This framework was used to develop a classifier to identify basic movements from the signals obtained from a single, waist-mounted triaxial accelerometer. The movements were first divided into activity and rest. The activities were classified as falls, walking, transition between postural orientations, or other movement. The postural orientations during rest were classified as sitting, standing or lying. In controlled laboratory studies in which 26 normal healthy subjects carried out a set of basic movements, the sensitivity of every classification exceeded 87%, and the specificity exceeded 94%; the overall accuracy of the system, measured as the number of correct classifications across all levels of the hierarchy, was a sensitivity of 97.7% and a specificity of 98.7% over a data set of 1309 movements.