摘要
针对计步器采用的波峰检测算法要求行人必须将设备佩戴在身体特定部位的问题,提出了一种利用手机加速度传感器信息实现计步器的解决方案。同时,为了降低手机位置不同以及行人的不同运动状态对手机计步器计步结果的影响,设计了一种自相关分析的计步算法。该算法将运动状态分为空闲和行走两种基本类型,根据经验阈值判断运动人员的运动状态进而进行计步计算。试验结果验证了算法的有效性:相对于波峰检测算法,运动状态为行走时计步结果的正确率从92.5%提高到98.6%,运动状态为空闲时计步结果的正确率从96.0%提高到98.8%。表明新设计的自相关分析算法有效地提高了行人计步结果的正确率,为室内人员定位技术的发展提供了新的途径。
In view that a pedometer using peak detection algorithm must be worn in specific parts of human body, a method for realizing pedometer by using the acceleration of mobile phone was proposed. Meanwhile, an step-counting algorithm by autocorrelation analysis is designed, which can significantly reduce the influence of position differences of the mobile phones and motion differences of the personnel on the result of step counting. The motion is divided into idle and walking, then the personnel's motion state is judged by experience threshold in step counting algorithm. The tests by the proposed method show that, compared with the peak detection algorithm, the correct rate increases from 92.5% to 98.6 when walking, and from 96.0% to 98.8% when idle. This result indicates that the new method with auto-correlation analysis can effectively improve the accuracy of step counting and provides a new way for the development of indoor positioning technology. ©, 2014, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2014年第6期794-798,共5页
Journal of Chinese Inertial Technology
基金
国家自然科学基金资助项目(41371423)
国家863计划资助(2013AA12A201)
关键词
计步器
自相关分析
波峰检测
手机传感器
室内定位
Cellular telephones
Correlation methods
Indoor positioning systems
Mobile phones
Signal detection
Telephone sets
