[1]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(No.2(111-220)):158-165.[doi:10.3724/SP.J.1249.2018.02158]
 LI Gang,ZHENG Xinbo,and YANG Zhaocheng.Pedometer method based on adaptive multilevel thresholding[J].Journal of Shenzhen University Science and Engineering,2018,35(No.2(111-220)):158-165.[doi:10.3724/SP.J.1249.2018.02158]
点击复制

一种基于多级自适应门限的计步算法()
分享到:

《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第35卷
期数:
2018年No.2(111-220)
页码:
158-165
栏目:
电子与信息科学
出版日期:
2018-03-20

文章信息/Info

Title:
Pedometer method based on adaptive multilevel thresholding
文章编号:
201802008
作者:
李钢郑鑫博阳召成
深圳大学信息工程学院,广东深圳 518060
Author(s):
LI GangZHENG Xinbo and YANG Zhaocheng
College of Information Engineering, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China
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
Keywords:
information processing technology step counter adaptive multilevel thresholding walking frequency characteristic three-axis accelerometer wearable device
分类号:
TH 72
DOI:
10.3724/SP.J.1249.2018.02158
文献标志码:
A
摘要:
计步是智能穿戴设备和智能手机的重要功能,在健身、医疗和导航定位领域被广泛使用.针对现有计步算法中对不同运动状态变化适应性差、不能有效排除手腕抖动等非行走因素干扰的问题,提出多级自适应门限计步算法.该方法分为3级门限控制:先检测加速度信号中的峰值点和谷值点;接着基于获得的峰值点和谷值点,计算人物的步频特征,根据所得步频特征判断人物的运动状态,如慢走、快走或跑步;最后,针对每种运动状态,自适应分配对应的时间差阈值和动态峰谷值差值阈值,实现多级自适应门限计步.试验结果表明,所提多级自适应门限计步算法可完成对人物不同运动状态、传感器不同姿态的高精度计步,计步准确率可达95%以上.
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%.

参考文献/References:

[1] 崔妍.肥胖症及其相关并发症的临床研究以及肥胖症患者不同糖代谢状态下血清相关因子变化的研究[D].北京: 北京协和医学院, 2013.
CUI Yan. Clinical study of obesity and its complications and the study of the change of related serum factors in obese patients with different glucose metabolism status[D]. Beijing: Peking Union Medical College, 2013.(in Chinese)
[2] 李世成,邵雄杰,甄达文, 等.运动对肥胖大鼠血清脂联素、血脂及体脂水平的影响[J].中国运动医学杂志, 2009, 28(1): 41-44.
LI Shicheng, SHAO Xiongjie, ZHEN Dawen, et al. Effects of exercise on serum adiponectin, blood lipids and body fat in obese rats[J]. Chinese Journal of Sports Medicine, 2009, 28(1): 41-44.(in Chinese)
[3] 胡丹.对肥胖中年人个体运动处方的制定试验研究[D].武汉:武汉体育学院, 2014: 52.
HU Dan. Case study of the development of the middle-aged obese individuals exercise prescription[D].Wuhan: Wuhan Institute of Physical and Education, 2014: 52.(in Chinese)
[4] SAI R P, BAPANAPALLE S, PRAVEEN K, et al.Pedometer and calorie calculator for fitness tracking using MEMS digital accelerometer[C]// International Conference on Invention Computer Technologies.Coimbatore, India: IEEE, 2016: 1-6.
[5] 梁久桢,朱向军,陈璟.基于手机加速度传感器的高精低采样计步算法设计[J].西北大学学报自然科学版,2015, 45(5):938-744.
LIANG Jiuzhen, ZHU Xiangjun, CHEN Jing. A high-accuracy and low-sampling-rate step counting algorithm design based on smartphone’s accelerometer[J]. Journal of Northwest University Natural Science Edition, 2015, 45(5):938-744.(in Chinese)
[6] 王革超,梁久桢,陈璟, 等.加速度差分有限状态机计步算法[J].计算机科学与探索,2016, 10(8): 1133-1142.
WANG Gechao, LIANG Jiuzhen, CHEN Jing, et al. Step counting algorithm based on finite state machine using acceleration differential[J]. Journal of Frontiers of Computer Science and Technology, 2016, 10(8): 1133-1142.(in Chinese)
[7] 陈国良,张言哲,杨洲.一种基于手机传感器自相关分析的计步器实现方法[J].中国惯性技术报,2014, 22(6): 794-798.
CHEN Guoliang, ZHANG Yanzhe, YANG Zhou. Realization of pedometer with auto-correlation analysis based on mobile phone sensor[J]. Journal of Chinese Inertial Technology, 2014, 22(6): 794-798.(in Chinese)
[8] CHIEN J C, HIRAKAWA K, SHIEH J S, et al.An effective algorithm for dynamic pedometer calculation[C]// International Conference on Intelligent Informatics and Biomedical Sciences.Okinawa, Japan: IEEE, 2015: 366-368.
[9] 王文杰,李军.基于手机加速度传感器的计步算法设计[J].工业控制计算机,2016, 29(1): 75-79.
WANG Wenjie, LI Jun. Algorithm design of counting steps based on mobile acceleration sensor[J]. Industrial Control Computer, 2016, 29(1): 75-79.(in Chinese)
[10] TANG Zihao, GUO Yao, CHENG Xiangqun.Self-adaptive step counting on smartphones under unrestricted modes[C]// The 40th of Annual Computer Software and Application Conference.Atlanta, USA:IEEE, 2016: 788-797.
[11] 楼喜中, 陟力, 方俊.MEMS传感器的计步算法研究[J].中国计量大学学报,2017, 28(1): 81-86.
LOU Xizhong, ZHI Li, FANG Jun. Algorithm of MEMS sensor step counting[J]. Journal of China University of Metrology, 2017, 28(1): 81-86.(in Chiese)
[12] 陈国良,李飞,张言哲.一种基于自适应波峰检测的MEMS计步算法[J].中国惯性技术学报,2016, 23(3): 315-321.
CHEN Guoliang, LI Fei, ZHANG Yanzhe. Pedometer method based on adaptive peak detection algorithm[J]. Journal of Chinese Inertial Technology, 2016, 23(3): 315-321.(in Chinese)
[13] 谢如花. 步数检测方法及在手腕式计步器中的应用研究[D]. 兰州:兰州交通大学, 2013.
XIE Ruhua. A step detection method and the research of its application on the wrist-type pedometer[D]. Lanzhou: Lanzhou Jiaotong University, 2013.(in Chinese)
[14] RYU U J, AHN K, KIM E, et al. Adaptive step detection algorithm for wireless smart step counter[C]// Procee-ding of International Conference on Information Science and Applications. Suwon, South Korea:IEEE, 2013:1-4.
[15] SUSI M, RENAUDIN V, LACHAPELLE G. Motion mode recognition and step detection algorithms for mobile phone users[J]. Sensors, 2013, 13(2): 1539-1562.
[16] 刘程,阳洪.自适应计步检测算法研究[J].压电与声光,2015, 37(2): 258-261.
LIU Cheng, YANG Hong. Study on adaptive pedometer detection algorithm[J]. Piezoelectrics & Acoustooptics, 2015, 37(2): 258-261.(in Chinese)
[17] 黄政,韩立新,肖艳. 一种基于移动终端的新型计步方法[J]. 计算机学报,2017,40(8): 1856-1871.
HUANG Zheng, HAN Lixin, XIAO Yan. A new step detection approach based on mobile termination[J]. Chinese Journal of Computer, 2017, 40(8):1856-1871.(in Chinese)
[18] 赵阳,娄小平,刘锋, 等. 自适应MEMS加速度计滤波算法[J]. 传感器与微系统,2017, 35(11): 120-127.
ZHAO Yang, LOU Xiaoping, LIU Feng, et al. Adaptive filtering algorithm of MEMS accelerometer[J]. Transducer and Microsystem Technologies, 2017, 35(11): 120-127.(in Chinese)
[19] 卢文,陈慈发.基于STM32和LIS3DSH的高精度计步器设计[J].单片机与嵌入式系统应用,2015(3): 70-73.
LU Wen, CHEN Cifa. High precision pedometer based on STM32 and LIS3DSH[J]. Microcontrollers & Embedded Systems, 2015(3): 70-73.(in Chinese)

相似文献/References:

[1]黄建军,李鹏飞,喻建平,等.基于类云模型聚类的多目标数据关联算法[J].深圳大学学报理工版,2010,27(1):11.
 HUANG Jian-jun,LI Peng-fei,YU Jian-ping,et al.Multitarget data association algorithm using cluster cloud model based c-means clustering[J].Journal of Shenzhen University Science and Engineering,2010,27(No.2(111-220)):11.
[2]袁天然,廖文和,程筱胜,等.牙龈软组织变形仿真技术研究[J].深圳大学学报理工版,2010,27(1):21.
 YUAN Tian-ran,LIAO Wen-he,CHENG Xiao-sheng,et al.Research on gum tissue deformation simulation techniques[J].Journal of Shenzhen University Science and Engineering,2010,27(No.2(111-220)):21.
[3]王品,谢维信,刘宗香,等.几种面向弹道目标跟踪算法的性能评估[J].深圳大学学报理工版,2012,29(No.5(377-470)):392.[doi:10.3724/SP.J.1249.2012.05392]
 WANG Pin,XIE Wei-xin,LIU Zong-xiang,et al.Performance evaluation of several methods for tracking a ballistic object[J].Journal of Shenzhen University Science and Engineering,2012,29(No.2(111-220)):392.[doi:10.3724/SP.J.1249.2012.05392]
[4]范恩,谢维信,刘宗香.基于子航迹Hough变换的模糊航迹关联[J].深圳大学学报理工版,2013,30(No.6(551-660)):551.[doi:10.3724/SP.J.1249.2013.06551]
 Fan En,Xie Weixin,and Liu Zongxiang.Fuzzy track association using tracklet-based Hough transform[J].Journal of Shenzhen University Science and Engineering,2013,30(No.2(111-220)):551.[doi:10.3724/SP.J.1249.2013.06551]
[5]徐静,王彩云.压缩感知测量矩阵优化混合方法[J].深圳大学学报理工版,2014,31(No.1(001-110)):58.[doi:10.3724/SP.J.1249.2014.01058]
 Xu Jing and Wang Caiyun.A hybrid optimization method for measurement matrix in compressed sensing[J].Journal of Shenzhen University Science and Engineering,2014,31(No.2(111-220)):58.[doi:10.3724/SP.J.1249.2014.01058]
[6]詹从来,龙伟,丁远超,等.基于FPGA的多路数据采集与处理系统设计[J].深圳大学学报理工版,2016,33(No.2(111-220)):127.[doi:10.3724/SP.J.1249.2016.02127]
 Zhan Conglai,Long Wei,Ding Yuanchao,et al.Design of multi channel data collection and processing system based on FPGA[J].Journal of Shenzhen University Science and Engineering,2016,33(No.2(111-220)):127.[doi:10.3724/SP.J.1249.2016.02127]
[7]李东,郭浩铭,田劲东,等.改进的DataMatrix码L形边精确定位方法[J].深圳大学学报理工版,2018,35(No.2(111-220)):151.[doi:10.3724/SP.J.1249.2018.02151]
 LI Dong,GUO Haoming,TIAN Jindong,et al.An improved method of locating L-edges in DataMatrix codes[J].Journal of Shenzhen University Science and Engineering,2018,35(No.2(111-220)):151.[doi:10.3724/SP.J.1249.2018.02151]

备注/Memo

备注/Memo:
Received:2017-06-28;Accepted:2017-09-30
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