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Therefore, a modular structure is applied to program design of the system by using the graphical language, LabVIEW®, which is composed of 6-DOF motion module, a self-tuning fuzzy control module, a stereo-vision detection module, and a dynamic routing module.
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This framework consists of two modules : motion language module and natural language module.
Therefore, these two probabilities can be written using the probabilities defining the motion language module and the natural language module.
After learning the motion language module and the natural language module using the training dataset as shown by Table 1, the proposed framework was tested on 100 different full-body motions of human.
The encoder is divided into six modules, and one of the most time-consuming motion estimation module codec is processed by the GPU.
The motion language module statistically learns association between motions and words, and the natural language module learns transition between two words in the sentences.
Figure 4 shows an overview of the motion language module that consists of three layers.
The weak nature of tactile responses in hMT + (and their abolition by withdrawal of attention) suggests that hMT + may not serve as a supramodal motion processing module.
In background modeling and motion detection module, they employ an adaptive model for background estimation applying mixture of Gaussians and appearance patterns, thereby presenting a stable and robust background model.
In the proposed architecture, the MVs are temporally stored in a buffer and sent to the motion prediction module of SVC, where they are processed as described in the following sections.
The logarithm of the total probability is written as begin{array}{*{20}l} Phi(theta) &= log{prod_{k} Pleft({omega^{k}_{1}}, {omega^{k}_{2}}, cdots, omega^{k}_{l_{k}} | lambda_{k}right)} end{array} (1) Figure 4 A motion language module learns the probability of a word being generated from a motion symbol.
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