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In common industrial applications, machine control used its own man-machine interface to achieve the monitoring and control functions. A graphical and intuitive interface can help an unelectrical background people to control machine system easily. This paper used MSP432 microcontroller and microsoft C# language to design a user interface for active magnetic bearing system, and to communicate by Bluetooth...
This paper presented a dynamic gray model DGM(1,1) prediction implement in fall detection signal analysis. The fall detection is a popular research topic in health care fields that detected older adult fall situation real time. Tradition gray model GM(1,1) prediction methods have some disadvantages to predict signal state. The DGM(1,1) used dynamic analysis construct prediction model that tracked...
This paper presented a packet neural network identify and analysis elders fall situation in wearable device. The older human signal analysis have been a research topic health care fields that algorithms build in wearable device real time detect fall situation. The neural network used neurons weight to identify human fall situation, and we also utilize packet neurons methods to adjust weight that grouped...
This paper presented an exponential smoothing gray model ESGM(1,1) analysis in fall detection signal analysis. The fall detection is a popular research topic in health care fields that combined wearable device real time detection older person situation. Gray model GM(1,1) prediction algorithms reinforced person fall signal which detected fall situation more quickly. In the experimental results, we...
This paper presented a recursive back propagation neural network (RBPNN) user gesture base on proximity capacitive sensor. The human interactive gesture signal analyses have been a research topic smart home fields that algorithms build in local device to recognize real time. The neural network have been used in many fields that including identification, control and classification. Neural network features...
This paper presented a Elman neural network identify elders fall signal base on second-order train method. The older human signal analysis have been a research topic health care fields that algorithms build in wearable device real time detect fall situation. However, the user dynamic sport signal nonlinear relationship between time and environmental uncertainty that are not easy to obtain user fall...
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