Gait measurement system for the multi-target stepping task using a laser range sensor.
Gait measurement system for the multi-target stepping task using a laser range sensor.
复制标题
使用激光范围传感器的多目标踏脚任务的步态测量系统。
DOI：
10.3390/s150511151
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发表时间：
2015-05-13
期刊：
影响因子：
--
通讯作者：
Takahashi M
中科院分区：
文献类型：
--
作者：
Yorozu A;Nishiguchi S;Yamada M;Aoyama T;Moriguchi T;Takahashi M
为了预防老年人跌倒，步态训练已经被提出使用多目标步进任务（MTST）等任务，在该任务中，参与者踩在指定的彩色目标上。本研究提出了一种步态测量系统，使用激光测距传感器来评估MTST的跌倒风险。该系统跟踪双腿并测量一般的行走参数，如步幅和行走速度。此外，它判断参与者是否在指定的彩色目标上行走，并检测交叉步数以评估认知功能。但是，当一条腿隐藏在传感器之外或者两条腿离得很近的情况下，很可能会导致腿部失去跟踪或错误跟踪。为了解决这些问题，我们提出了一种新的腿检测方法，该方法采用五种观察到的腿模式和基于全局最近邻的数据关联，并根据每个腿的状态建立一个可变的验证区域。此外，提出了基于腿部轨迹的目标步数判断和交叉步数检测方法。通过对老年人的实验结果，验证了该系统能够提高腿部跟踪性能，判断目标步数，检测交叉步数的准确率较高。
For the prevention of falling in the elderly, gait training has been proposed using tasks such as the multi-target stepping task (MTST), in which participants step on assigned colored targets. This study presents a gait measurement system using a laser range sensor for the MTST to evaluate the risk of falling. The system tracks both legs and measures general walking parameters such as stride length and walking speed. Additionally, it judges whether the participant steps on the assigned colored targets and detects cross steps to evaluate cognitive function. However, situations in which one leg is hidden from the sensor or the legs are close occur and are likely to lead to losing track of the legs or false tracking. To solve these problems, we propose a novel leg detection method with five observed leg patterns and global nearest neighbor-based data association with a variable validation region based on the state of each leg. In addition, methods to judge target steps and detect cross steps based on leg trajectory are proposed. From the experimental results with the elderly, it is confirmed that the proposed system can improve leg-tracking performance, judge target steps and detect cross steps with high accuracy.
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影响因子：
5.1
作者：
Matsumura T;Moriguchi T;Yamada M;Uemura K;Nishiguchi S;Aoyama T;Takahashi M
通讯作者：
Takahashi M
DOI：
10.3390/s121114489
发表时间：
2012-10-29
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Ozaki M;Kakimuma K;Hashimoto M;Takahashi K
通讯作者：
Takahashi K
DOI：
10.1109/tsmcb.2008.2004050
发表时间：
2009-02-01
影响因子：
--
作者：
Bellotto, Nicola;Hu, Huosheng
通讯作者：
Hu, Huosheng
影响因子：
3.7
作者：
da Costa BR;Rutjes AW;Mendy A;Freund-Heritage R;Vieira ER
通讯作者：
Vieira ER
影响因子：
3.7
作者：
Schoene D;Lord SR;Delbaere K;Severino C;Davies TA;Smith ST
通讯作者：
Smith ST