Tracking Exercise Motions of Older Adults Using Contours.

Tracking Exercise Motions of Older Adults Using Contours.
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DOI:
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发表时间:
2009
期刊:
Journal of Applied Computer Science Methods
影响因子:
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通讯作者:
T. Havens;G. Alexander;C. Abbott;J. Keller;M. Skubic;M. Rantz
T. Havens;G. Alexander;C. Abbott;J. Keller;M. Skubic;M. Rantz
中科院分区:
其他
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作者:
T. Havens;G. Alexander;C. Abbott;J. Keller;M. Skubic;M. Rantz

文献摘要

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在本文中,我们描述了一种新的无标记运动捕捉系统的发展,并探讨其在记录老年人在健身俱乐部的日常锻炼。该系统使用图像轮廓跟踪和群体智能方法来跟踪脊柱和肩膀的位置,在三个演习-跑步机,健身自行车,和开销横向下拉。验证结果表明,我们的方法在测量脊柱或肩部相对于水平方向的角度时,平均误差约为2度。定性的研究结果表明,我们的系统是能够提供重要的反馈的姿势和稳定性的老人,而他们正在执行演习。研究参与者表示,来自我们系统的反馈将增加他们日常锻炼的价值。
In this paper we describe the development of a novel markerless motion capture system and explore its use in documenting elder exercise routines in a health club. This system uses image contour tracking and swarm intelligence methods to track the location of the spine and shoulders during three exercises - treadmill, exercise bike, and overhead lateral pull-down. Validation results show that our method has a mean error of approximately 2 degrees when measuring the angle of the spine or shoulders relative to the horizontal. Qualitative study results demonstrate that our system is capable of providing important feedback about the posture and stability of elders while they are performing exercises. Study participants indicated that feedback from our system would add value to their exercise routines.