Gabel Moshe, Gilad-Bachrach Ran, Renshaw Erin, Schuster Assaf
The Department of Computer Science, Technion - Israel Institute of Technology, Israel.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1964-7. doi: 10.1109/EMBC.2012.6346340.
Human gait is an important indicator of health, with applications ranging from diagnosis, monitoring, and rehabilitation. In practice, the use of gait analysis has been limited. Existing gait analysis systems are either expensive, intrusive, or require well-controlled environments such as a clinic or a laboratory. We present an accurate gait analysis system that is economical and non-intrusive. Our system is based on the Kinect sensor and thus can extract comprehensive gait information from all parts of the body. Beyond standard stride information, we also measure arm kinematics, demonstrating the wide range of parameters that can be extracted. We further improve over existing work by using information from the entire body to more accurately measure stride intervals. Our system requires no markers or battery-powered sensors, and instead relies on a single, inexpensive commodity 3D sensor with a large preexisting install base. We suggest that the proposed technique can be used for continuous gait tracking at home.
人类步态是健康的重要指标,其应用范围涵盖诊断、监测和康复。在实际应用中,步态分析的使用受到限制。现有的步态分析系统要么昂贵、具有侵入性,要么需要如诊所或实验室等环境受控的场所。我们提出了一种经济且非侵入性的精确步态分析系统。我们的系统基于Kinect传感器,因此能够从身体的各个部位提取全面的步态信息。除了标准的步幅信息外,我们还测量手臂运动学,展示了可以提取的广泛参数。我们通过利用来自全身的信息来更精确地测量步幅间隔,进一步改进了现有工作。我们的系统不需要标记物或电池供电的传感器,而是依赖于一个单一的、价格低廉且已有大量用户基础的商用3D传感器。我们建议所提出的技术可用于在家中进行连续的步态跟踪。