Artificial Intelligence-Assisted motion capture for medical applications: a comparative study between markerless and passive marker motion capture
Artificial Intelligence-Assisted motion capture for medical applications: a comparative study between markerless and passive marker motion capture
复制标题
DOI：
10.1080/10255842.2020.1856372
复制
发表时间：
2020-12-01
影响因子：
1.6
通讯作者：
Onodera, Hiroshi
中科院分区：
文献类型：
--
作者：
Takeda, Iwori;Yamada, Atsushi;Onodera, Hiroshi
我们的目标是确定人工智能(AI)辅助的无标记运动捕获软件在临床医学和康复领域是否有用。目前，尚不清楚人工智能辅助的无标记方法是否适用于下肢功能障碍的个人，例如使用脚踝足部矫形器或拐杖的人。然而，由于许多下肢瘫痪患者和足部矫形器使用者在站立阶段失去了跖趾关节的屈曲，因此有必要估计在固定的跖趾关节运动下的足部识别的准确性。使用OpenPose(一种无标记的方法)和传统的被动标记运动捕捉方法测量跑步机行走时的髋关节、膝关节和踝关节角度，并对两种方法的结果进行比较。我们还研究了脚踝矫形器和拐杖是否会影响OpenPose的识别能力。被动标记法(MAC3D)、OpenPose和使用Kinovea软件的手动视频分析获得的髋关节和膝关节数据具有显著的相关性。与OpenPose和Kinovea获得的高度相关的踝关节数据相比，MAC3D获得的数据相关性较弱。对于正常步态和使用矫形器或拐杖的异常步态，OpenPose可以适当地替代传统的被动标记运动捕捉。此外，OpenPose还适用于MP关节运动受损的患者。使用OpenPose可以降低与传统被动标记运动捕获相关的复杂性和成本，而不会影响识别精度。
We aimed to determine whether artificial intelligence (AI)-assisted markerless motion capture software is useful in the clinical medicine and rehabilitation fields. Currently, it is unclear whether the AI-assisted markerless method can be applied to individuals with lower limb dysfunction, such as those using an ankle foot orthosis or a crutch. However, as many patients with lower limb paralysis and foot orthosis users lose metatarsophalangeal (MP) joint flexion during the stance phase, it is necessary to estimate the accuracy of foot recognition under fixed MP joint motion. The hip, knee, and ankle joint angles during treadmill walking were determined using OpenPose (a markerless method) and the conventional passive marker motion capture method; the results from both methods were compared. We also examined whether an ankle foot orthosis and a crutch could influence the recognition ability of OpenPose. The hip and knee joint data obtained by the passive marker method (MAC3D), OpenPose, and manual video analysis using Kinovea software showed significant correlation. Compared with the ankle joint data obtained by OpenPose and Kinovea, which were strongly correlated, those obtained by MAC3D presented a weaker correlation. OpenPose can be an adequate substitute for conventional passive marker motion capture for both normal gait and abnormal gait with an orthosis or a crutch. Furthermore, OpenPose is applicable to patients with impaired MP joint motion. The use of OpenPose can reduce the complexity and cost associated with conventional passive marker motion capture without compromising recognition accuracy.