Reach-to-Grasp Motion Tracking System Using Single Smart Phone Camera

Sahawatchara Thongprasan, Natsakorn Liangsorn, Chafik Raden-Ahmad, Kotchakorn Kongkaew, J. Tretriluxana, S. Tretriluxana
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Abstract

Assessment of human movement is necessary for physical therapy management. This article presents a development of motion tracking system for human Upper Extremity (UE) function analysis. We proposed the optical motion capture system made by a single smart phone camera. It was used to capture the Reach-to-Grasp (RTG) movement of participants in sitting position. Image processing were used to detect color markers placed on chosen hand anatomical landmarks. With our simple camera calibration technique, the 3D coordinates of hand movement were obtained. Two clinical parameters, grasp aperture and hand transport velocity were computed. These results were compared with the outputs, collected at the same time, from the higher accuracy Electromagnetic Motion (EM) tracking system. Qualitatively, the result patterns from two systems were parallel to each other. Our ongoing work is to improve the algorithms according to the feedback from clinicians. This system may provide implication for physical therapist to assess the clients’ movement in the clinical setting.
基于单智能手机摄像头的手握运动跟踪系统
评估人体运动是必要的物理治疗管理。介绍了一种用于人体上肢功能分析的运动跟踪系统的开发。我们提出了一种由智能手机单摄像头组成的光学动作捕捉系统。它被用来捕捉参与者在坐姿时的手握(RTG)运动。图像处理用于检测放置在选定的手部解剖标志上的颜色标记。通过简单的摄像机标定技术,获得了手部运动的三维坐标。计算两种临床参数,握力孔径和手部移动速度。这些结果与同时从更高精度的电磁运动跟踪系统收集的输出进行了比较。定性地说,两个系统的结果模式是相互平行的。我们正在进行的工作是根据临床医生的反馈来改进算法。该系统可为物理治疗师在临床环境中评估患者的运动提供参考。
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