The Relation Investigation Between Characteristics Effectiveness And Computational Complexity About Auricular Points’ Near-infrared Signals

The ideology that algorithm optimization for the potential features of signals in orderto make them more effective in ASIC-based identification and application is a developmenttrend in pattern recognition fields.There are two objectives of this thesis:First, based on virtual instrument for auricular points’ near-infrared signals, wereproduce the recognition characteristics of human brain auricular points’ signals, at thecognitive statement of smile and calmness;Second, we analyze the variation of power following the parameters in Chua’s circuit,and explore the circuit model of human brain, at the features combination of powerconsumption characteristics in Chua’s circuit and human brain.Four parts of my works include:(1) Based on MATLAB and sound card, we develop novel simplified hardware, toacquire auricular points’ near-infrared signals of human brain, and through the existingalgorithms analyses, reproduce differences for human brain signals at calmness and smile.(2) Further study on the chaotic behavior of Chua’s circuit, we discover the law on thepower characteristics of a pure resistance lead by electrical parameters, and explore therelationship in the chaotic characteristics and power of Chua’s circuit.(3) From nonlinear perceptions, we analyze characteristics of auricular points’near-infrared signals in human brain, also investigate the dialectical relationship betweencognitive migration and chaotic behavior in human brain.(4) According to the power of pure resistor in Chua’s circuit, also referring to the approximate power consumption of human brain in four cognitive states, we constructcircuit model of human brain in use of Chua’s circuit.The experiments’ conclusions:(1) Working on auricular points’ signals characteristics of human brain, firstly wedeveloped most simplified virtual instrument and reproduced lower power consumption insmile than calmness for human brain.(2) Through the nonlinear characteristics, we found that positive emotions can inspirechaotic behavior in brain.(3) Finally with the power consumption characteristics of a pure resistance in Chua’scircuit and human brain in the four cognitive states, we gain a circuit model of humanbrain.