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一种基于多级自适应门限的计步算法

李钢 郑鑫博 阳召成

深圳大学学报(理工版)2018,Vol.35Issue(2):158-165,8.
深圳大学学报(理工版)2018,Vol.35Issue(2):158-165,8.DOI:10.3724/SP.J.1249.2018.02158

一种基于多级自适应门限的计步算法

Pedometer method based on adaptive multilevel thresholding

李钢 1郑鑫博 1阳召成1

作者信息

  • 1. 深圳大学信息工程学院,广东深圳518060
  • 折叠

摘要

Abstract

The step counter plays an important role in the smart phone and intelligent wearable device. It has been widely used in the fields of body building, medical treatment, and navigation. In order to handle the performance degradation caused by various motion states and non-walking interference, e. g., waist's shaking, in existing pedometer methods,we propose a novel pedometer method based on the adaptive multilevel thresholding technology, which can be divided into three thresholds controlling. Firstly, it finds the peaks and valleys by using the accelerometer data. Secondly,it calculates the frequency characteristic of human's movement based on the obtained peaks and valleys,and subsequently determines the motion state(such as walking slowly,walking fast or running). Thirdly,it adaptively assigns the time threshold and peak-valley threshold according to the estimated motion states to achieve step counting. Experimental results show that the proposed algorithm can adapt to different motion states and different sensor mounting positions,and obtain an average accuracy rate above 95%.

关键词

信息处理技术/计步/自适应/多级门限/步频特征/三轴加速度计/可穿戴式设备

Key words

information processing technology/step counter/adaptive/multilevel thresholding/walking frequency characteristic/three-axis accelerometer/wearable device

分类

机械制造

引用本文复制引用

李钢,郑鑫博,阳召成..一种基于多级自适应门限的计步算法[J].深圳大学学报(理工版),2018,35(2):158-165,8.

基金项目

国家自然科学基金资助项目(61771317,61401478) (61771317,61401478)

深圳市科技创新计划资助项目(JCYJ20160307112710376) (JCYJ20160307112710376)

深圳大学自然科学基金资助项目(2016056)National Natural Science Foundation of China(61771317,61401478) (2016056)

Science and Technology Innovation Project of Shenzhen(JCYJ20160307112710376) (JCYJ20160307112710376)

Natural Science Foundation of Shenzhen University(2016056) (2016056)

深圳大学学报(理工版)

OA北大核心CSCDCSTPCD

1000-2618

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