使用Genuino 101神经元进行长动作的识别

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#include <CurieIMU.h>
#include <CuriePME.h>
#include <CurieBLE.h>
#include <SerialFlash.h>
#include <SPI.h>
#include "buzzer.h"
#include "loadIMU.h"
//#include "saveLoad.h"
//#include "loadIMUa.h"
//#include "SaveAndLoad.h"
Buzzer buzzer(6);
int buttonPin = 8;
void setup()
{
pinMode(buttonPin, INPUT_PULLUP);
Serial.begin(115200);
while (!Serial);
CurieIMU.begin();
CuriePME.begin();
//    pinMode(buttonPin, INPUT_PULLUP);
//    if (digitalRead(buttonPin)==HIGH)
//    {
//        //加载数据,并进入识别模式
//        // restoreNetworkKnowledge();
//    }else
//    {
//        //学习数据,并存入Flash
//        // saveNetworkKnowledge();
//    }
Serial.println("test test");
CurieIMU.begin();
CuriePME.begin();
CurieIMU.setAccelerometerRate(1600);
CurieIMU.setAccelerometerRange(2);
//    while (digitalRead(buttonPin) == HIGH);
Serial.println("Training begin===============================");
Serial.println("3");
delay(1000);
Serial.println("2");
delay(1000);
Serial.println("1");
delay(1000);
Serial.println("Training begin");
training1(5);
Serial.println("Training begin===============================");
Serial.println("3");
delay(1000);
Serial.println("2");
delay(1000);
Serial.println("1");
delay(1000);
Serial.println("Training begin");
training2(5);
Serial.println("Training begin===============================");
Serial.println("3");
delay(1000);
Serial.println("2");
delay(1000);
Serial.println("1");
delay(1000);
Serial.println("Training begin");
training3(5);
}
byte vector[128];
void loop()
{
// while(digitalRead(buttonPin)==HIGH);
// delay(10);
readVectorFromIMU(vector);
unsigned int category = CuriePME.classify(vector, 128);
if (category == CuriePME.noMatch)
{
Serial.println("noMatch");
}
else
{
Serial.println(category);
}
}
//连续动作识别
void training1(int trainingReps)
{
unsigned int currentTraining = 0;
unsigned int actionsLen = 3;
while (currentTraining < trainingReps)
{
buzzer.bbb();
currentTraining++;
Serial.println(currentTraining);
unsigned int currentAction = 0;
byte vector1[128];
byte vector2[128];
byte vector3[128];
//        byte vector4[128];
readVectorFromIMU(vector1);
readVectorFromIMU(vector2);
readVectorFromIMU(vector3);
//        readVectorFromIMU(vector4);
CuriePME.learn(vector1, 128, 1);
CuriePME.learn(vector2, 128, 2);
CuriePME.learn(vector3, 128, 3);
//        CuriePME.learn(vector4, 128, 4);
Serial.println("Got it!");
buzzer.end();
}
}
void training2(int trainingReps)
{
unsigned int currentTraining = 0;
unsigned int actionsLen = 3;
while (currentTraining < trainingReps)
{
buzzer.bbb();
currentTraining++;
Serial.println(currentTraining);
unsigned int currentAction = 0;
byte vector1[128];
byte vector2[128];
byte vector3[128];
//        byte vector4[128];
readVectorFromIMU(vector1);
readVectorFromIMU(vector2);
readVectorFromIMU(vector3);
//        readVectorFromIMU(vector4);
CuriePME.learn(vector1, 128, 5);
CuriePME.learn(vector2, 128, 6);
CuriePME.learn(vector3, 128, 7);
//        CuriePME.learn(vector4, 128, 8);
Serial.println("Got it!");
buzzer.end();
}
}
void training3(int trainingReps)
{
unsigned int currentTraining = 0;
unsigned int actionsLen = 3;
while (currentTraining < trainingReps)
{
buzzer.bbb();
currentTraining++;
Serial.println(currentTraining);
unsigned int currentAction = 0;
byte vector1[128];
byte vector2[128];
byte vector3[128];
//        byte vector4[128];
readVectorFromIMU(vector1);
readVectorFromIMU(vector2);
readVectorFromIMU(vector3);
//        readVectorFromIMU(vector4);
CuriePME.learn(vector1, 128, 9);
CuriePME.learn(vector2, 128, 10);
CuriePME.learn(vector3, 128, 11);
//        CuriePME.learn(vector4, 128, 12);
Serial.println("Got it!");
buzzer.end();
}
}

 

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