Rougier Caroline, Auvinet Edouard, Meunier Jean, Mignotte Max, de Guise Jacques A
Département d’Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal, Canada.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5136-9. doi: 10.1109/IEMBS.2011.6091272.
This paper introduces a new quantification method for gait symmetry based on depth information acquired from a structured light system. First, the new concept of Depth Energy Image is introduced to better visualize gait asymmetry problems. Then a simple index is computed from this map to quantify motion symmetry. Results are presented for six subjects with and without gait problems. Since the method is markerless and cheap, it could be a very promising solution in the future for gait clinics.
本文介绍了一种基于从结构化光系统获取的深度信息的步态对称性量化新方法。首先,引入深度能量图像的新概念以更好地可视化步态不对称问题。然后从该图计算出一个简单指标来量化运动对称性。给出了六名有和没有步态问题的受试者的结果。由于该方法无需标记且成本低廉,未来它可能成为步态诊所非常有前景的解决方案。