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HUMAN POSTURE ESTIMATION METHOD FROM A 3D SURFACE IMAGE USING FUZZY LOGIC EVALUATION

机译:使用模糊逻辑评估的3D表面图像的人为姿势估计方法

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The transport of lymph along the spinal cord appear to be very important. Our observation focused on the human trunk surface by objective optical Moire 3D topography. For identification of muscle disbalance in clinical practice, the standard experimental method is observation by palpation. [1] It is presuppose that the observed position of the scapula or spine course e.g. depends on the cooperation of resting muscles and on the muscle disbalance in this functional area. The use of fuzzy logic, enables us to model experimental findings to describe the nonlinear behavior and dynamics of the human neuromusculoskeletal systems. Fuzzy logic models work with fuzzy (imprecise) information, for problems solving can be used method of adaptive neuro-fuzzy learning. In our study we used various methods of controlling lumbo-thoracal posture shape in sagital and frontal plain. Our task was to find whether spine movement total parallel during time or one region is moved in comparison with adjacent ones. Movement of the spine can be one of propulsive mechanisms of transport of lymph along the spinal cord.
机译:沿着脊髓的淋巴式似乎非常重要。我们的观察通过客观光学莫尔3D地形集中在人体行李箱表面上。为了鉴定临床实践中的肌肉不平衡,标准实验方法是通过触诊观察。 [1]预先假定肩胛骨或脊柱课程的观察位置。取决于休息肌肉和肌肉不平衡的合作。使用模糊逻辑,使我们能够模拟实验结果来描述人类神经肌肉骨骼系统的非线性行为和动力学。模糊逻辑模型与模糊(不精确)信息合作,解决问题的问题可以使用适应性神经模糊学习的方法。在我们的研究中,我们使用了各种控制Sagital和Frontal Plain中的Lumbo-Thoracal姿势形状的方法。我们的任务是找到与相邻的时间或一个区域之间的脊柱运动是否平行,相比之下。脊柱的运动可以是沿脊髓运输淋巴式的推进机制之一。

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