LI Gang,ZHENG Xinbo,and YANG Zhaocheng.Pedometer method based on adaptive multilevel thresholding[J].Journal of Shenzhen University Science and Engineering,2018,35(2):158-165.[doi:10.3724/SP.J.1249.2018.02158]





Pedometer method based on adaptive multilevel thresholding
深圳大学信息工程学院,广东深圳 518060
LI GangZHENG Xinbo and YANG Zhaocheng
College of Information Engineering, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China
information processing technology step counter adaptive multilevel thresholding walking frequency characteristic three-axis accelerometer wearable device
TH 72
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%.


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Foundation:National Natural Science Foundation of China (61771317, 61401478); Science and Technology Innovation Project of Shenzhen (JCYJ20160307112710376); Natural Science Foundation of Shenzhen University (2016056)
Corresponding author:Associate professor YANG Zhaocheng. E-mail: yangzhaocheng@szu.edu.cn
Citation:LI Gang,ZHENG Xinbo, YANG Zhaocheng. Pedometer method based on adaptive multilevel thresholding[J]. Journal of Shenzhen University Science and Engineering, 2018, 35(2): 158-165.(in Chinese)
基金项目:国家自然科学基金资助项目(61771317, 61401478); 深圳市科技创新计划资助项目(JCYJ20160307112710376); 深圳大学自然科学基金资助项目(2016056)
作者简介:李钢(1996—),男,深圳大学本科生. 研究方向:移动穿戴. E-mail: ligangszu@163.com
引文: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.
更新日期/Last Update: 2018-03-07