基于三维加速度计数据方差分析的脚步计数器

A. Kurniawan, Jalaluddin Al-Mursyidy Fadhlurrahman, E. M. Yuniarno
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引用次数: 0

摘要

不健康的饮食可以克服各种疾病,如高血压、糖尿病、肥胖、心脏病等。为了避免被疾病征服的风险,社会必须熟悉健康的生活方式,例如健康和有规律的饮食和勤奋的运动。有一种运动可以在社会各阶层不花钱的情况下进行,那就是步行运动。印度尼西亚共和国卫生部和专家建议,以步行1000步为最低目标,每天1万步为长期目标。因此,需要一种能够计算脚步声数量的设备。该设备使用加速度计传感器构建,数据在Arduino Nano微控制器内处理后发送到用户的手机上显示。数据处理是通过计算来自每个加速度计传感器轴的方差,并将它们相加来完成的。然后,微控制器计算总和与平均值的差值。这个计算的结果决定了计数脚步的阈值。从总共18次测试中,发现该装置的平均准确率为91.48%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Footsteps Counter Using Variances Analysis of Three-Dimensional Accelerometer Data
The unhealthy diet then overcomes various diseases such as hypertension, diabetes, obesity, heart disease, and others. To avoid the risk of being overcome by the diseases, the community must familiarize a healthy lifestyle, such as making a healthy and regular diet with diligent exercise. One type of exercise that can be carried out by all levels of society without spending is walking exercise. Ministry of Health of Republic of Indonesia, as well as experts, recommends exercising as many as 1,000 steps to walk as a minimum target, and 10,000 steps everyday as a long-term target. So, a device is needed to be able to count the number of footsteps. The device is built by using an accelerometer sensor where the data is processed within Arduino Nano microcontroller to be sent to the user’s mobile phone to be displayed. The data processing is done by calculating the variance from each accelerometer sensor’s axis, and add them up. Then, the microcontroller calculates the difference of the sum from its average. The result of this calculation determines the threshold value to count footsteps. From the total of 18 tests, it was found the average accuracy of the device was 91,48%.
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