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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...
The paper proposed dynamic direct heart rate algorithms in wearable device. Green light LED to direct heart rate is very popular in recent years which used analogy signal feedback to microcontroller calculation. However, the different person physical signals are independent that including body fat, physical color, blood concentrations and oxygen concentration to influence observer data. Moreover,...
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