Improved leg tracking with data association considering gait phase during turning motion in walk tests

Improved leg tracking with data association considering gait phase during turning motion in walk tests
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DOI:
10.1109/aim.2015.7222653
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发表时间:
2015-07
期刊:
2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
影响因子:
--
通讯作者:
Ayanori Yorozu;Toshiki Moriguchi;Masaki Takahashi
Ayanori Yorozu;Toshiki Moriguchi;Masaki Takahashi
中科院分区:
其他
文献类型:
--
作者:
Ayanori Yorozu;Toshiki Moriguchi;Masaki Takahashi

文献摘要

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跌倒是不断增长的老年人口的常见问题,跌倒风险评估系统需要以社区为基础的跌倒预防计划。特别是,定时起身行走试验(TUG)是许多临床机构或当地社区最常用于评估老年人个体行走能力的临床试验。本文提出了一种改进的腿部跟踪方法,使用激光测距传感器(LRS)的步态测量系统,以评估运动功能的步行测试,如TUG。系统跟踪两条腿并测量两条腿的轨迹。然而,两条腿可能彼此靠近,并且一条腿可能对传感器隐藏。这在TUG中的转弯运动期间尤其如此,其中腿从LRS隐藏的时间比直线行走期间长,并且移动方向快速改变。这些情况很可能导致错误跟踪,并且使腿位置的测量精度恶化。为了解决这些问题,提出了一种新的考虑步态相位的数据关联方法。从年轻人的实验结果,我们证实,所提出的方法可以减少错误跟踪的机会。此外,我们还与三维运动分析系统(VICON)进行了比较,验证了腿部轨迹的测量精度。
Falling is a common problem in the growing elderly population and fall-risk assessment systems are needed for community-based fall prevention programs. In particular, the timed up & go test (TUG) is the clinical test most often used to evaluate elderly individual ambulatory ability in many clinical institutions or local communities. This paper presents an improved leg tracking method using a laser range sensor (LRS) for a gait measurement system to evaluate the motor function in walk tests such as TUG. The system tracks both legs and measures the trajectory of both legs. However, both legs might be close to each other and one leg might be hidden from the sensor. This is especially the case during the turning motion in the TUG, where the time that a leg is hidden from the LRS is longer than that during straight walking and the moving direction rapidly changes. These situations are likely to lead to false tracking and deteriorate the measurement accuracy of the leg positions. To solve these problems, a novel data association method considering the gait phase is proposed. From the experimental results with young people, we confirm that the proposed methods can reduce the chances of false tracking. In addition, we verify the measurement accuracy of the leg trajectory compared with a three-dimensional motion analysis system (VICON).