在2分钟的步行测试中,来自手腕和中下背部的惯性传感器数据的比较

J. Farah, E. Lemaire, N. Baddour
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引用次数: 3

摘要

在2分钟的步行测试中,在手腕和中下背部位置测量三轴惯性传感器数据。在手腕处使用微软Band 2来获取步态数据,在骨盆后端放置三星Galaxy S5智能手机。加速度计和陀螺仪的信号在两个位置之间没有很好的关联。由于手腕数据中观察到的周期性趋势,手腕上重要的步态参数可能导致更好地理解人类运动剖面。MSB2和智能手机的转弯检测准确率分别为86.0±23.1%和78.3±20.2%。转向检测显示,智能手机y轴陀螺仪有更明显的峰值。转峰分析表明,归一化峰高一致,MSB2的转峰时间较长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of inertial sensor data from the wrist and mid-lower back during a 2-minute walk test
Triaxial inertial sensor data was measured at the wrist and mid-lower back location during a 2-minute walk test. A Microsoft Band 2 was used to acquire gait data at the wrist and a Samsung Galaxy S5 smartphone was placed at the posterior pelvis. Accelerometer and gyroscope signals did not correlate well between the two locations. Important gait parameters at the wrist may lead to a better understanding of human locomotion profile due to periodic trends observed in wrist data. Turn detection accuracy was 86.0±23.1% and 78.3±20.2% for the MSB2 and smartphone, respectively. Turn detection showed that the smartphone y-axis gyroscope had more distinct peaks. Turn peak analysis showed that normalized peak heights were in agreement and MSB2 had a longer turn time.
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