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In the conventional robust ISS (input to state stable) which satisfies control strategy, all parameters of the system must be known and deterministic. Since it confines the application, in this paper an attempt is made to create a bridge between two important design techniques, i.e., the robust ISS-satisficing control strategy and the variable universe indirect fuzzy control strategy, to offset this...
In this research, the artificial intelligent method based human motion pattern recognition for surface electromyographic (EMG) signal is proposed. As the EMG signal is a measurement of anatomical and physiological characteristic of the given muscle, the macroscopical movement patterns of the human body can be classified and recognized. By using the technology of wavelet packet transformation, the...
Human-computer interface (HCI) is very important to improve the efficiency of robot control to support the complex tasks. It is valuable to develop recognition techniques by which compute can be capable of handling humanpsilas continuous gesture effectively. The present work seeks to model human motions in a manner for leaning and recognition. Toward this end,a novel HCI approach based on hidden Markov...
In order to get high efficiency of code design and convenience of system maintenance, this paper applies the most advanced method, unified modeling language (UML) and model-driven architecture (MDA), on the development of the embedded system based on the MSC1212. Firstly, using Matlab/stateflow toolbox to model and simulate the complex event driven system in the embedded system introduced in this...
A novel ambient intelligence interactive technique are introduced here. First, the mechanism of our AmI system and several idiographic technique issue is expounded stepwise. For providing personalized service an algorithm of face recognition based on HMM is researched and the experimental results show efficient. In this way the user can be identified by the method of face recognition, and the system...
The measurement accuracy of the dynamic spectrum is correlated with the measurement accuracy of amplitude of the arterial photoplethysmography (PPG). In order to get higher accuracy of pulse wave amplitude, suppress the respiration interference of the pulse wave, the original pulse wave signal is processed by the wavelet analysis combined with the characteristic parameter reconstruction based on the...
The near infrared spectroscopy for the noninvasive determination of blood compositions has attracted significant interest in recent years. Lately the Dynamic Spectroscopy (DS), a new device for artery blood compositions detecting is introduced. It can eliminate the interferences of individual discrepancy and measurement conditions. But acquisition of the spectrum meeting the accuracy of blood compositions...
This paper proposed a novel neural network based on rough sets theory. Firstly a rule extraction method is discussed, and a set of rough rules is found from the given training data based on rough sets theory. Secondly, the structure and model of the neural network are designed according to these rules, and the training algorithm with high-precision of learning is formulated based on neural networks...
Part perfusion hyperthermia is an effective approach to tumor curing through which the tumor cells are killed by the high temperature, which is created by medicament perfuse to the pathological change area. Since the human body is a complicated system of heat exchange. It is difficult to obtain its accurate mathematic model and accurately measure the temperature of cancer tissue applying the conventional...
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