PAJ7620U2 手势识别传感器

简介

SEN0315手势识别传感器是一款强大的3D手势识别交互式传感器;在最远20cm范围内,最多可以识别13种手势。具备良好的手势识别稳定性和节能机制,总是能够在恰当的时候偷偷帮你节省电源;采用Gravity接口,零件的连接就不再是一件麻烦的事。目前有两种工作模式:高速模式下可以识别手的上\下\左\右\前\后\顺时针\逆时针移动以及快速挥动9种手势;低速模式下可以此前9种基础上再加乱序\缓慢左右\缓慢前后\缓慢上下移动4种手势。显然这款传感器可以有广泛的运用范围,设想一下,挥挥手控制电视空调;挥挥手调整灯光和音乐;挥挥手去操纵游戏...会不会很有意思呢?

技术规格

SEN0315_sche.png

引脚说明


丝印 功能描述
D I2C数据SDA
C I2C时钟SCL
- 电源负极
+ 电源正极

使用教程

准备

接线图

准备好硬件后,按照下图将模块与UNO连接好

样例代码

点击下载库文件例程和库文件如何安装库?

函数参考:


 DFRobot_PAJ7620U2(TwoWire *pWire=&Wire);
 /**
  * @brief 构造函数
  * @param mode 构造设备时,可以指定它的默认工作模式
  */
 int begin(void)
  /**
  * @brief 初始化函数
  * @return 返回0表示初始化成功,返回其他值表示初始化失败
  */ 

 void setGestureHighRate(bool b);
  /**
  * @brief 设置告诉手势识别模式
  * @param b true表示配置为高速识别模式,以最快速度识别手势并返回。
  * @n  false表示低速模式,在低速模式下,系统会做更多的判断
  * @n  在高速识别模式下,可以快速识别的动作包括向左滑动 向右滑动 向上滑动 向下滑动
  * @n  向前滑动 向后滑动 逆时针 顺时针 快速挥手 9个动作
  * @n  高级用户如果想要用这些动作的组合,需要在外部自己算法逻辑,比如左右左快速挥手
  * @n  因为每个人用到的动作有限 ,我们没有将更多的扩展动作集在库中,需要用户在ino文件中自己完成算法逻辑
  * @n
  * @n
  * @n  在低速识别模式下,每2秒识别一个动作,我们将一些扩展动作集成到库内部,方便基础用户使用
  * @n  可以识别的动作包括向左滑动 向右滑动 向上滑动 向下滑动 向前滑动 向后滑动
  * @n  逆时针 顺时针 快速挥手 9个基础动作 左右慢挥手 上下慢挥手 前后慢挥手 乱序慢挥手  4个扩展动作
  */
 String gestureDescription(eGesture_t gesture);
  /**
  * @brief 获取手势号码对应的字符串描述
  * @param gesture 包含在eGesture_t中的手势号码
  * @return 手势号码对应的文字描述信息,如果输入了手势表中不存在的手势,返回空字符串
  * @n 正常的返回值可能是   "None","Right","Left", "Up", "Down", "Forward", "Backward", "Clockwise",
  * @n "Anti-Clockwise", "Wave", "WaveSlowlyDisorder", "WaveSlowlyLeftRight", "WaveSlowlyUpDown",
  * @n "WaveSlowlyForwardBackward"
  */
 eGesture_t getGesture(void); 
  /**
  * @brief 获取手势
  * @return 返回手势,可能是的值为eGestureNone  eGestureRight  eGestureLeft  eGestureUp
  * @n     eGestureDown  eGestureForward  eGestureBackward  eGestureClockwise
  * @n     eGestureWave  eGestureWaveSlowlyDisorder  eGestureWaveSlowlyLeftRight
  * @n     eGestureWaveSlowlyUpDown  eGestureWaveSlowlyForwardBackward
  */


高速模式:

代码功能:可以识别以下手势。

warning_yellow.png 注:顺时针和逆时针手势需要至少转两圈以上 更多操作详见问答部分参考视频

高速模式可识别手势
gesture code gesture dsctiption
1 Right
2 Left
4 Up
8 Down
16 Forward
32 Backward
64 Clockwise
128 Anti-clockwise
256 Wave(quickly)
the totality of recognizable gesture is 9

    /*!
     * @file GestureRecognize_HighRate.ino
     * @brief Present the 9 built-in gestures data the sensor supports.
     * @n Wave your hand above the sensor (within 0~20cm), it can recognize 9 kinds of gestures: move up, down, left, right, forward,
     * @n backward, clockwise, anti-clockwise, wave.
     * @n For more usages of the sensor, refer to the description about setGestureHighRate in function setup.
     *
     * @copyright   Copyright (c) 2010 DFRobot Co.Ltd (http://www.dfrobot.com)
     * @licence     The MIT License (MIT)
     * @author      Alexander(ouki.wang@dfrobot.com)
     * @version  V1.0
     * @date  2019-07-16
     * @get from https://www.dfrobot.com
     * @url https://github.com/DFRobot/DFRobot_PAJ7620U2
     */

    #include <DFRobot_PAJ7620U2.h>

    DFRobot_PAJ7620U2 paj;

    void setup()
    {
      Serial.begin(115200);
      delay(300);
      Serial.println("Gesture recognition system base on PAJ7620U2");
      while(paj.begin() != 0){
        Serial.println("initial PAJ7620U2 failure! Please check if all the connections are fine, or if the wire sequence is correct?");
        delay(500);
      }
      Serial.println("PAJ7620U2 init completed, start to test the gesture recognition function");

      /*Set fast detection mode
       *If the parameter is set to false, the module enters slow detection mode, and it detects one gesture every 2s. We have integrated
       *some gestures inside the module to make it convenient for beginners.
       *The slow mode can recognize 9  basic gestures and 4 expanded gestures: move left, right, up, down, forward, backward, clockwise,
       *counter-clockwise, wave, slowly move left and right, slowly move up and down, slowly move forward and backward,
       *wave slowly and randomly.
       *
       *
       *
       *If the parameter is set to true, the module enters fast detection mode.
       *The fast mode can recognize 9 gestures: move left, right, up, down, forward, backward, clockwise, counter-clockwise, wave
       *To detect the combination of these gestures, like wave left, right and left quickly, users needs to design their own algorithms logic.
       *Since users only use limited gestures in this mode, we are not going to integrate too much expanded gestures in the library.
       *If necessary, you can complete the algorithm logic in the ino file by yourself.
       */
      paj.setGestureHighRate(true);

    }

    void loop()
    {
      /* Read gesture number(return eGesture_t enumerated type)
       * eGestureNone  eGestureRight  eGestureLeft  eGestureUp  eGestureDown  eGestureForward
       * eGestureBackward  eGestureClockwise  eGestureAntiClockwise  eGestureWave  eGestureWaveSlowlyDisorder
       * eGestureWaveSlowlyLeftRight  eGestureWaveSlowlyUpDown  eGestureWaveSlowlyForwardBackward
       */
      DFRobot_PAJ7620U2::eGesture_t gesture = paj.getGesture();
      if(gesture != paj.eGestureNone ){
       /* Get the string descritpion corresponding to the gesture number.
        * The string description could be
        * "None","Right","Left", "Up", "Down", "Forward", "Backward", "Clockwise", "Anti-Clockwise", "Wave",
        * "WaveSlowlyDisorder", "WaveSlowlyLeftRight", "WaveSlowlyUpDown", "WaveSlowlyForwardBackward"
        */
        String description  = paj.gestureDescription(gesture);//Convert gesture number into string description
        Serial.println("--------------Gesture Recognition System---------------------------");
        Serial.print("gesture code        = ");Serial.println(gesture);
        Serial.print("gesture description  = ");Serial.println(description);
        Serial.println();
      }
    }

结果

结果:可识别9种手势,可以在串口打印出相应的手势描述,如下图所示: <File:SEN0315> 9ges.png

低速模式:

warning_yellow.png
注:低速模式下默认采样时间为2s,所以完成一项操作后可能需等待1s 更多操作详见问答部分参考视频

代码功能:可以识别以下手势。

低速模式可识别手势
gesture code gesture dsctiption
1 Right
2 Left
3 WaveSlowlyLeftRight
4 Up
8 Down
12 WaveSlowlyUpDown
16 Forward
32 Backward
48 WaveSlowlyForwardBackward
64 Clockwise
128 Anti-clockwise
256 Wave(quickly)
512 WaveSlowlyDisorder
the totality of recognizable gesture is 13

    #include <DFRobot_PAJ7620U2.h>

    /*!
     * @file GestureRecognize_LowRate.ino
     * @brief Present the 9 built-in gestures the sensor supports and 4 extended gestures in the slow mode.
     * @n Wave you hand above the sensor(within 0~20cm), it can detect: move left, right, up, down, forward, backward, clockwise,
     * @n anti-clockwise, wave, slowly move left and right, slowly move up and down, slowly move forward and backward, wave randomly and slowly.
     * @n For more usages of the sensor, refer to the description about setGestureLowRate in function setup.
     *
     * @copyright   Copyright (c) 2010 DFRobot Co.Ltd (http://www.dfrobot.com)
     * @licence     The MIT License (MIT)
     * @author      Alexander(ouki.wang@dfrobot.com)
     * @version  V1.0
     * @date  2019-07-16
     * @get from https://www.dfrobot.com
     * @url https://github.com/DFRobot/DFRobot_PAJ7620U2
     */

    #include <DFRobot_PAJ7620U2.h>

    DFRobot_PAJ7620U2 paj;

    void setup()
    {
      Serial.begin(115200);
      delay(300);
      Serial.println("Gesture recognition system base on PAJ7620U2");
      while(paj.begin() != 0){
        Serial.println("initial PAJ7620U2 failure! Please check if all the connections are fine, or if the wire sequence is correct?");
        delay(500);
      }
      Serial.println("PAJ7620U2init completed, start to test the gesture recognition function");

      /*Set fast detection mode
       *If the parameter is set to false, the module enters slow detection mode, and it detects one gesture every 2s. We have integrated
       *some gestures inside the module to make it convenient for beginners.
       *The slow mode can recognize 9  basic gestures and 4 expanded gestures: move left, right, up, down, forward, backward, clockwise,
       *counter-clockwise, wave, slowly move left and right, slowly move up and down, slowly move forward and backward,
       *wave slowly and randomly.
       *
       *
       *
       *If the parameter is set to true, the module enters fast detection mode.
       *The fast mode can recognize 9 gestures: move left, right, up, down, forward, backward, clockwise, counter-clockwise, wave.
       *To detect the combination of these gestures, like wave left, right and left quickly, users needs to design their own
       *algorithms logic.
       *Since users only use limited gestures in this mode, we are not going to integrate too much expanded gestures in the library.
       *If necessary, you can complete the algorithm logic in the ino file by yourself.
       */
      paj.setGestureHighRate(false);

    }

    void loop()
    {
      /* Read gesture number(return eGesture_t enumerated type)
       * eGestureNone  eGestureRight  eGestureLeft  eGestureUp  eGestureDown  eGestureForward
       * eGestureBackward  eGestureClockwise  eGestureAntiClockwise  eGestureWave  eGestureWaveSlowlyDisorder
       * eGestureWaveSlowlyLeftRight  eGestureWaveSlowlyUpDown  eGestureWaveSlowlyForwardBackward
       */
      DFRobot_PAJ7620U2::eGesture_t gesture = paj.getGesture();
      if(gesture != paj.eGestureNone ){
       /* Get the string descritpion corresponding to the gesture number
        * The string description could be
        * "None","Right","Left", "Up", "Down", "Forward", "Backward", "Clockwise", "Anti-Clockwise", "Wave",
        * "WaveSlowlyDisorder", "WaveSlowlyLeftRight", "WaveSlowlyUpDown
      }
    }

结果

结果:可识别13手势,可以在串口打印出相应的手势描述,如下图所示: <File:SEN0315> 13ges.png

Mind+(基于Scratch3.0)图形化编程

1、下载及安装软件,版本不低于1.6.2 RC2.0。下载地址:http://www.mindplus.cc 详细教程:Mind+基础wiki教程-软件下载安装
2、切换到“上传模式”。详细教程:Mind+基础wiki教程-上传模式编程流程
3、“扩展”中选择“主控板”中的“Arduino Uno”,“用户库”中搜索加载'''手势''' 。详细教程:Mind+基础wiki教程-加载扩展库流程
4、进行编程,程序如下图。
5、菜单“连接设备”,“上传到设备”
6、程序上传完毕后,打开串口即可看到数据输出。详细教程:Mind+基础wiki教程-串口打印

blocks

sen0135_example

常见问题

问:有高速模式演示视频吗?

答:https://www.bilibili.com/video/av76484181

问:有低速模式演示视频吗?

答:https://www.bilibili.com/video/av76484092

更多问题及有趣的应用,可以 访问论坛 进行查阅或发帖!

更多

原理图 Datasheet SVG 文件

DFshopping_car1.png DFRobot商城购买链接