The Establishment of the Human Body's Perception Current Threshold Model Based on BP Neural Network

EEG feature identification and body's sensing are used together to confirm that the current flowing through the human body reaches the perception threshold, since the existing test method is sensitive to the subject's subjective awareness and experimental data's reliability and consistency are not good. Based on the test method, the relationship is studied among the human body's perception current effect threshold and many influencing factors such as touch voltage, touch area, touch pressure, skin type, environmental temperature and humidity, the time period in which the current passes through the human body, current frequency, current waveform, current path, etc. to explore the combined effect of those factors on human body's perception current threshold. The model of the human body's perception current threshold is established based on BP neural network to evaluate comprehensively the leakage current effect on the human body's perception current threshold and the model accuracy is about 99%.