Wang Fang, Stone Erik, Dai Wenqing, Banerjee Tanvi, Giger Jarod, Krampe Jean, Rantz Marilyn, Skubic Marjorie
Electrical and Computer Engineering Department, University of Missouri, Columbia, MO 65211, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6147-50. doi: 10.1109/IEMBS.2009.5333897.
In this paper, we present results of an automatic vision-based gait assessment tool, using two cameras. Elderly residents from TigerPlace, a retirement community, were recruited to participate in the validation and test of the system in scripted scenarios representing everyday activities. The residents were first tested on a GAITRite mat, an electronic walkway that captures footfalls, and with inexpensive web cameras recording images. The extracted gait parameters from the camera system were compared with the GAITRite; excellent agreement was achieved. The residents then participated in the scenarios, with only the cameras recording. We found that the residents displayed different gait patterns during the realistic scenarios compared to the GAITRite runs. This finding provides support of the importance and advantage of continuous gait assessment in a daily living environment. Results on 4 elderly participants are included in the paper.
在本文中，我们展示了一种基于视觉的自动步态评估工具的结果，该工具使用两台摄像机。来自退休社区TigerPlace的老年居民被招募来参与该系统在代表日常活动的脚本场景中的验证和测试。居民们首先在GAITRite垫子上进行测试，GAITRite是一种能捕捉脚步声的电子步道，同时用廉价的网络摄像头记录图像。将从摄像系统中提取的步态参数与GAITRite的参数进行比较，结果显示二者高度吻合。然后居民们参与场景测试，此时仅用摄像机记录。我们发现，与在GAITRite上的测试相比，居民们在实际场景中表现出不同的步态模式。这一发现支持了在日常生活环境中进行连续步态评估的重要性和优势。本文包含了4名老年参与者的测试结果。
