Alvarez Diego, Gonzalez Rafael C, Lopez Antonio, Alvarez Juan C
Electr. Eng. Dept., Oviedo Univ., Gijon., Spain.
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:5964-7. doi: 10.1109/IEMBS.2006.259593.
Wearable accelerometry provides easily portable systems that supply real-time data adequate for gait analysis. When they do not provide direct measurement of a spatio-temporal parameter of interest, such as step length, it has to be estimated with a mathematical model from indirect sensor measurements. In this work we are concerned with the accelerometry-based estimation of the step length in straight line human walking. We compare five step length estimators. Measurements were taken from a group of four adult men, adding up a total of 800 m per individual of walking data. Also modifications to these estimators are proposed, based on biomechanical considerations. Results show that this modifications lead to improvements of interest over previous methods.
可穿戴式加速度计提供了易于携带的系统,能够提供适用于步态分析的实时数据。当它们无法直接测量感兴趣的时空参数(如步长)时,就必须通过数学模型根据间接传感器测量值来估计。在这项工作中,我们关注基于加速度计的直线行走人体步长估计。我们比较了五种步长估计器。测量数据来自一组四名成年男性,每人总计有800米的行走数据。此外,基于生物力学考虑,还对这些估计器提出了改进。结果表明,这些改进相较于先前的方法有显著提升。