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【野火】瑞萨RA MCU创意氛围赛+《手势识别控制终端》

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发表于 2023-8-19 01:56:22 | 显示全部楼层 |阅读模式
本帖最后由 KYSDFH 于 2023-8-19 21:17 编辑

【野火】瑞萨RA MCU创意氛围赛+《手势识别控制终端》
1硬件部分:
设备型号:野火RA6M5开发板
外围设备:
GY- AMG8833 IR 8x8 红外热像仪

1.44寸彩色TFT显示屏高清IPS LCD液晶屏模块128*128


其他配件:
面包板 x 1
杜邦线若干


项目描述:
本项目主要通过AMG8833模块 获取手部的温度,然后通过BP神经网络解析温度数据,来识别手部动作。当手部动作和预定控制指令激活动作相匹配时,向外部设备发送控制指令,当外部设备接收到对应指令执行对应的操作。

项目环境描述:
因为该设备是通过手部温度作为控制变量,所以项目运行的温度在28℃摄氏度下(设备静态是经过传感器测量得到的数据)。手部温度为,33℃左右,手部距离传感器大概在5cm 左右,并且处于 传感器芯片正前方。说明:环境温度会影响传感器的识别。

设备引脚配置:


引脚连接:

以及串口:
TX : P512
RX: P511

以上是项目的硬件部分



2软件部分:
项目完成使用到的软件有:
e2 studio
vscode
字模软件 PCtoLCD2013
野火串口调试助手

软件部分代码说明:
GY- AMG8833 IR 8x8 红外热像仪 驱动部分代码说明:
AMG8833模块使用I2C 通讯协议:(使用 硬件I2C)
下面是模块是主要的各个功能驱动函数
根据数据手册说明:只要主机向从机发送0x80指令,从机设备 会直接 一次性按顺序发送完 温度栅格点 1-64 的温度数据
其他指令:按照I2C 通讯协议读取
I2C 驱动 .C 文件部分函数
// 设置传感器模式
void AMG88_SetSensorMode(AMG88_OperatingMode Mode)
{

    unsigned char buffer[2]={0x00,Mode};
    R_SCI_I2C_Write(&g_i2c6_ctrl, buffer, 2, false);
    return;


}

// 获取当前传感器模式

unsigned char AMG88_GetSensorMode(void)
{
    unsigned char OperatingModeBuffer=0;
    R_SCI_I2C_Write(&g_i2c6_ctrl, 0, 1, true);
    R_BSP_SoftwareDelay(2, 1000);
    //Read Register data
    R_SCI_I2C_Read(&g_i2c6_ctrl, &OperatingModeBuffer, 1, false);
    return OperatingModeBuffer;
}



// 重启传感器
void AMG88_SensorReset(AMG88_ResetMode Mode)
{
    //
    unsigned char ResetBuffer[2]={0x01,(unsigned char)Mode};
    //unsigned char ResetBuffer=0x30;
    R_SCI_I2C_Write(&g_i2c6_ctrl, ResetBuffer, 2, false);


    return;
}

// 设置帧率
void AMG88_SetFrameRate(AMG88_Frame Frame)
{

    unsigned char ResetBuffer[2]={0x02,(unsigned char)Frame};
    //unsigned char ResetBuffer=0x30;
    R_SCI_I2C_Write(&g_i2c6_ctrl, ResetBuffer, 2, false);

    return;
}
// 获取传感器帧率
unsigned char AMG88_GetFrameRate(void)
{
    unsigned char OperatingModeBuffer=0;
    unsigned char Address[1]={0x02};
    R_SCI_I2C_Write(&g_i2c6_ctrl, Address, 1, true);
    R_BSP_SoftwareDelay(2, 1000);
    //Read Register data
    R_SCI_I2C_Read(&g_i2c6_ctrl, &OperatingModeBuffer, 1, false);
    R_BSP_SoftwareDelay(2, 1000);
    return OperatingModeBuffer;
}
// 设置中断控制寄存器
void AMG88_SetICR(AMG88_ICR_REGISTER ICR)
{
    unsigned char ResetBuffer[2]={0x03,(unsigned char)ICR};
        //unsigned char ResetBuffer=0x30;
    R_SCI_I2C_Write(&g_i2c6_ctrl, ResetBuffer, 2, false);

        return;
}
// 获取中断控制寄存器的数据
unsigned char AMG88_GetICR(void)
{
    unsigned char OperatingModeBuffer=0;
    unsigned char Address[1]={0x03};
    R_SCI_I2C_Write(&g_i2c6_ctrl, Address, 1, true);
//    R_SCI_I2C_Write(&g_i2c6_ctrl, 0x03, 1, true);
    R_BSP_SoftwareDelay(2, 1000);
    //Read Register data
    R_SCI_I2C_Read(&g_i2c6_ctrl, &OperatingModeBuffer, 1, false);
    return OperatingModeBuffer;
}
// 获取当前传感器状态
unsigned char AMG88_GetStatus(void)
{
    unsigned char OperatingModeBuffer=0;
    unsigned char Address[1]={0x04};
    R_SCI_I2C_Write(&g_i2c6_ctrl, Address, 1, true);
//    R_SCI_I2C_Write(&g_i2c6_ctrl, 0x04, 1, true);
    R_BSP_SoftwareDelay(2, 1000);
    //Read Register data
    R_SCI_I2C_Read(&g_i2c6_ctrl, &OperatingModeBuffer, 1, false);
    return OperatingModeBuffer;

}
// 清除传感器标志位
void AMG88_SetStatusClear(AMG_Status_FLAG ClearStatus)
{

    unsigned char ResetBuffer[2]={0x05,(unsigned char)ClearStatus};
            //unsigned char ResetBuffer=0x30;
    R_SCI_I2C_Write(&g_i2c6_ctrl, ResetBuffer, 2, false);


    return;
}

//
void AMG88_SetAverage(BOOL Flag)
{
    unsigned char ResetBuffer[2]={0x07,(Flag==TRUE)?(0xFF)0)};
                //unsigned char ResetBuffer=0x30;
    R_SCI_I2C_Write(&g_i2c6_ctrl, ResetBuffer, 2, false);

}
//
unsigned char AMG88_GetAverage(void)
{
    unsigned char OperatingModeBuffer=0;
//    R_SCI_I2C_Write(&g_i2c6_ctrl, 0x07, 1, true);
    unsigned char Address[1]={0x07};
    R_SCI_I2C_Write(&g_i2c6_ctrl, Address, 1, true);

    R_BSP_SoftwareDelay(2, 1000);
    //Read Register data
    R_SCI_I2C_Read(&g_i2c6_ctrl, &OperatingModeBuffer, 1, false);
    return OperatingModeBuffer;
}

// 设置中断优先级
void AMG88_SetILR(unsigned char *ValueBuffer,unsigned char ArrayLenth)
{
    unsigned char ResetBuffer[7]={0x08,0x00,0x00,0x00,\
                                  0x00,0x00,0x00};
    if(ArrayLenth<=7 && ArrayLenth >= 1)
        return;
    for(unsigned char i= 1 ;i<7;i++)
    {

        if(i%2==0)
        {
            ResetBuffer=(0x0F & ValueBuffer[i-1]);
        }else
        {
            ResetBuffer=ValueBuffer[i-1];

        }

    }
    //unsigned char ResetBuffer=0x30;
    R_SCI_I2C_Write(&g_i2c6_ctrl, ResetBuffer, ArrayLenth+1, false);

        return;
}
unsigned char Tempeture_Flag[2];
// 获取传感器 热敏电阻 电阻值
unsigned short AMG88_GetThermistor(void)
{


    unsigned short buffer_flag=0;
    unsigned char Address[1]={0x0E};
    R_SCI_I2C_Write(&g_i2c6_ctrl, Address, 1, true);
//    R_SCI_I2C_Write(&g_i2c6_ctrl, 0x0E, 1, true);
    R_BSP_SoftwareDelay(2, 1000);
    //Read Register data
    R_SCI_I2C_Read(&g_i2c6_ctrl, &Tempeture_Flag[0], 1, false);
    R_BSP_SoftwareDelay(2, 1000);
    Address[0]=0x0F;
    R_SCI_I2C_Write(&g_i2c6_ctrl, Address, 1, true);
    R_BSP_SoftwareDelay(2, 1000);
    R_SCI_I2C_Read(&g_i2c6_ctrl, &Tempeture_Flag[1], 1, false);
    R_BSP_SoftwareDelay(2, 1000);
    buffer_flag=Tempeture_Flag[1]<<8;
    buffer_flag|=Tempeture_Flag[0];
    return buffer_flag;
}
unsigned char Buffer[10];
unsigned char Revice[128];
// 获取传感器的温度
void AMG88_SensorData(void)
{
    /*
     * register address
     *
     * */
    Buffer[0]=0x80;
    //Send slave address
    R_SCI_I2C_Write(&g_i2c6_ctrl, Buffer, 1, true);
    R_BSP_SoftwareDelay(2, 1000);
    //Read Register data
    R_SCI_I2C_Read(&g_i2c6_ctrl, Revice, 128, false);
}



1.44寸彩色TFT显示屏高清IPS LCD液晶屏模块128*128 部分代码说明
LCD 液晶屏使用SPI 通讯协议:(使用模拟SPI)
驱动芯片为ST7735
SPI驱动 .C 文件部分函数


void SPI_init(void)
{

    SET_LED();
    SET_CS();
    SET_CDX();
    SET_RST();
    SET_CLK();
    SET_SDA();

    return;
}

void SPI_SendData(unsigned char Data) // CDX = 1
{

    unsigned char i;

    for (i = 0; i < 8; i++)
    {
        CLEAR_CLK();

        if ((Data & 0x80) != 0)
            SET_SDA();
        else
            CLEAR_SDA();

        Data <<= 1;

        SET_CLK();

    }

    return;
}

void SPI_WriteCommand(unsigned char Data) //CDX = 0
{

    CLEAR_CS();
    CLEAR_CDX();

    SPI_SendData (Data);

    SET_CS();

    return;
}
void SPI_WriteData(unsigned char Data) //CDX = 1
{

    CLEAR_CS();
    SET_CDX();

    SPI_SendData (Data);

    SET_CS();

    return;

}

void WriteDispData(unsigned char DataH, unsigned char DataL)
{

    SPI_SendData (DataH);
    SPI_SendData (DataL);


}
void LCD_Init(void)
{

    SET_RST();
    R_BSP_SoftwareDelay (100, BSP_DELAY_UNITS_MILLISECONDS);

    CLEAR_RST();
    R_BSP_SoftwareDelay (100, BSP_DELAY_UNITS_MILLISECONDS);

    SET_RST();
    R_BSP_SoftwareDelay (200, BSP_DELAY_UNITS_MILLISECONDS);

    SPI_WriteCommand (0x11); //Exit Sleep
    R_BSP_SoftwareDelay (120, BSP_DELAY_UNITS_MILLISECONDS);

    SPI_WriteCommand (0xB1);
    SPI_WriteData (0x05); //0a
    SPI_WriteData (0x3c); //14
    SPI_WriteData (0x3c);

    SPI_WriteCommand (0xB2);
    SPI_WriteData (0x05);
    SPI_WriteData (0x3c);
    SPI_WriteData (0x3c);

    SPI_WriteData (0xB3);
    SPI_WriteData (0x05);
    SPI_WriteData (0x3c);
    SPI_WriteData (0x3c);

    SPI_WriteData (0x05);
    SPI_WriteData (0x3c);
    SPI_WriteData (0x3c);

    SPI_WriteCommand (0xB4); // 前面的b1-b5 是设置帧速率
    SPI_WriteData (0x03);

    SPI_WriteCommand (0xC0); // Set VRH1[4:0] & VC[2:0] for VCI1 & GVDD      Power Control
    SPI_WriteData (0x28);
    SPI_WriteData (0x08);
    SPI_WriteData (0x04);

    SPI_WriteCommand (0xC1); // Set BT[2:0] for AVDD & VCL & VGH & VGL
    SPI_WriteData (0xC0);

    SPI_WriteCommand (0xC2); // Set VMH[6:0] & VML[6:0] for VOMH & VCOML
    SPI_WriteData (0x0D);          //54h
    SPI_WriteData (0x00);           //33h

    SPI_WriteCommand (0xC3);
    SPI_WriteData (0x8D);
    SPI_WriteData (0x2A);

    SPI_WriteCommand (0xC4);
    SPI_WriteData (0x8D);
    SPI_WriteData (0xEE);

    SPI_WriteCommand (0xC5);
    SPI_WriteData (0x1A);

    SPI_WriteCommand (0x36);    //MX,MY,RGB MODE
    SPI_WriteData (0x08);

    SPI_WriteCommand (0xe0);
    SPI_WriteData (0x04);    //2c
    SPI_WriteData (0x22);
    SPI_WriteData (0x07);
    SPI_WriteData (0x0A);
    SPI_WriteData (0x2E);
    SPI_WriteData (0x30);
    SPI_WriteData (0x25);
    SPI_WriteData (0x2A);
    SPI_WriteData (0x28);
    SPI_WriteData (0x26);
    SPI_WriteData (0x2E);
    SPI_WriteData (0x3A);
    SPI_WriteData (0x00);
    SPI_WriteData (0x01);
    SPI_WriteData (0x03);
    SPI_WriteData (0x03);

    SPI_WriteCommand (0xe1);
    SPI_WriteData (0x04);
    SPI_WriteData (0x16);
    SPI_WriteData (0x06);
    SPI_WriteData (0x06);
    SPI_WriteData (0x0D);
    SPI_WriteData (0x2D);
    SPI_WriteData (0x26);
    SPI_WriteData (0x23);
    SPI_WriteData (0x27);
    SPI_WriteData (0x27);
    SPI_WriteData (0x25);
    SPI_WriteData (0x2D);
    SPI_WriteData (0x3B);
    SPI_WriteData (0x00);
    SPI_WriteData (0x01);
    SPI_WriteData (0x04);
    SPI_WriteData (0x13);

    SPI_WriteCommand (0x3A);
    SPI_WriteData (0x05);

    SPI_WriteCommand (0x29); // Display On
    R_BSP_SoftwareDelay (20, BSP_DELAY_UNITS_MILLISECONDS);

}
void BlockWrite(unsigned short Xstart, unsigned short Xend, unsigned short Ystart, unsigned short Yend)
{
    SPI_WriteCommand (0x2A);
    SPI_WriteData (Xstart >> 8);
    SPI_WriteData (Xstart + 2);
//    SPI_WriteData(Xstart);
    SPI_WriteData (Xend >> 8);
    SPI_WriteData (Xend + 2);
//    SPI_WriteData(Xstart);

    SPI_WriteCommand (0x2B);
    SPI_WriteData (Ystart >> 8);
    SPI_WriteData (Ystart + 1);
    SPI_WriteData (Yend >> 8);
    SPI_WriteData (Yend + 1);

    SPI_WriteCommand (0x2c);
}
void DispColor(unsigned short color)
{
    unsigned short i, j;

    BlockWrite (0, COL - 1, 0, ROW - 1);

    for (i = 0; i < ROW; i++)
    {
        for (j = 0; j < COL; j++)
        {
            SPI_WriteData (color >> 8);
            SPI_WriteData (color);
//            DelayMs(1);
        }
    }

}
void ClearFullScreen(void)
{

    unsigned short i, j;
    BlockWrite (0, COL - 1, 0, ROW - 1);
    for (j = 0; j < COL; j++)
    {
        SPI_WriteData (i + 50);
        SPI_WriteData (j + 50);

    }

    return;
}
void DrawColor(unsigned short ColorNumber)
{

    SPI_WriteData (0xFF);
    SPI_WriteData (0xFF);
    return;
}



• BP 神经网络:代码说明:
三层网络结构
第一层是输入层,第二层是隐藏层,第三层是输出层
神经网络预测代码说明:
神经网络预测的原理是,将目标数据输入到神经网络中,经过神经网络中参数的迭代,使之得到符合要求的数据数据,然后保存神经网络中的参数(各个节点的权重参数)。使用该网络预测时,将训练好的参数,导入到神经网络中,该神经网络就预测和神经网络中相符合的数据。
该神经网络的相关信息如下:
三层 BP神经网络
输入层有 64 个元素 , 隐藏层有 34个元素, 输出层有 10 个元素
训练次数 10000次,最终的错误率为:0.00658,学习率为: 0.1 ,动量因子 0.1 训练数据总共 160 组 (160组 中 ,分成 三份)
总共训练了 三个 手势

手势1 36组数据  手势2 68 组数据    手势3 54组数据
上图:为 编写文档时所拍,非传感器 测量时 图片 ,仅说明在采集测试数据时的手势动作
训练数据示例:
[[0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.5,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000],[0,1,0,0,0,0,0,0,0,0]],
// 手势 1  要求输出 结果 -----> [0,1,0,0,0,0,0,0,0,0]

[[0.0000,0.0000,0.5,0.5,0.0000,0.5,0.5,0.5,0.0000,0.0000,0.5,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000],[0,0,1,0,0,0,0,0,0,0]],
// 手势 2  要求输出 结果 -----> [0,0,1,0,0,0,0,0,0,0]

[[0.0000,0.0000,0.0000,0.5,0.5,0.5,0.5,0.5,0.0000,0.0000,0.0000,0.5,0.5,0.5,0.0000,0.5,0.0000,0.0000,0.5,0.0000,0.0000,0.5,0.0000,0.5,0.0000,0.5,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.5,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000],[0,0,0,1,0,0,0,0,0,0]]
// 手势 3  要求输出 结果 -----> [0,0,0,1,0,0,0,0,0,0]

// 注: 以上数据仅为 测试数据中的手势数据的 一部分 ,不代表整体数据

// 预测输出数据 示例:
[-0.0023248156377385144, 0.035785164105157696, 0.05889932014156386, 0.9992514065884543, 0.0003713636538696458, -0.002541229896438062, -0.0033772818188316607, -0.0023972941452978813, 0.001043452650557289, -0.0026320033807735485]
输出数据说明:
该网络有10个数据输出 ,(如:)[0,0,0,1,0,0,0,0,0,0] (从左往右)依次是 0 - 9 手势 ,但本次训练

仅仅训练了3 个手势, 结果如上。
其他信息说明:
本次的隐藏层的数目依次经历了 12->24->128->34 的变化 ,具体的数目和输入输出的元素个数,没有实际的关联(网上虽然有建议) ,具体看情况而论,因为是三层网络,隐藏层的数量不可以太少,也不可以太多,太少,说简单的,输出的数据不在[0,1]的区间,太多,输出的都是0.9左右的数据
输出的数据不在[0,1]的区间
可以调整 学习率 或者 训练次数(增加),或者是动量因子(修改该参数时,学习率不变)
• 调整隐藏层的节点数目(往大了调)
输出的都是0.9左右的数据(过拟合)
• 调整隐藏层的节点数目(往小了调)(按实际情况调节)
• 输出数据的设定,按照激活函数的取值选择
输入数据的选择,[0-1]之间 ,为了提供训练的成功率,在输入数据中做了一些处理
• 训练的前提是保证网络正常(代码没有写错)
优化训练的操作说明
对数据进行了非0即0.5 的处理 ,对于超过 特定温度值的数据为0.5 ,不超过为 0(只要有相对应的特征即可)
网络训练成功的标志,输出的数据在(本网络)[0,1]之间,并且输出的数据 对应符合 输入的数据(只要有符合的即可尝试在在设备上运行),建议训练完成的网络,在预测时,要同时多预测几个,防止是误差

// 激活函数
double sigmoid(double x)
{
        return tanh(x);
}
   
// 前向传播
void Forward()
{
        unsigned char i=0,j=0;
        double Temp=0.0;
        double *InputValueTemp;
        InputValueTemp=InputValue;
        for( i=0 ;i< HIDDENSIZE ; i++)
        {        
                Temp=0;
                for(j=0 ; j < INPUTSIZE ; j++ )
                {

                        Temp+=InputValue[j]*InputWeight[j*HIDDENSIZE+i];
                }
                HiddenValue=sigmoid(Temp);
        }
        
        for( i=0 ;i < OUTPUTSIZE ; i++)
        {
                Temp=0;
                for( j = 0; j < HIDDENSIZE ;j++ )
                {
                        Temp+=HiddenValue[j]*OutputWeight[j*OUTPUTSIZE+i];
                }
                OutputValue=sigmoid(Temp);
               
                }

        }
        

}
左上角 手势1 白色
  手势2 浅绿色
  手势3 浅紫色
https://gitee.com/kysfh/fire-mcu_-game
本项目还有需要优化的地方,也有着许多不足。作者水平有限,希望广大网友批评指正。
以上就是该项目的所有内容

野火瑞萨MCU_Doc.rar

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 楼主| 发表于 2023-8-19 02:03:52 | 显示全部楼层
这是文字部分,图片无法加载,文档我放在Doc rar 文件中了,代码明天发
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 楼主| 发表于 2023-8-19 21:18:42 | 显示全部楼层
源码已上传Gitee
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 楼主| 发表于 2023-8-19 22:47:22 | 显示全部楼层
很可惜野火论坛不支持markdown
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