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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？

工作温度：-40℃~85℃

环境光免疫力：<100k Lux

盖板材料：推荐采用玻璃或PC;透明度须>90%;盖板材料厚度<0.7mm;盖板和模块应尽可能靠近，最远距离为0.2mm;

* @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 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。

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 * @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. * @licence The MIT License (MIT) * @author Alexander([email protected]) * @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：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：

低速模式：

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 * @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. * @licence The MIT License (MIT) * @author Alexander([email protected]) * @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：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：

Mind+ 上传模式编程

1、下载及安装软件，版本不低于1.6.2 RC2.0。下载地址： https://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”,“扩展”“传感器”中搜索选择“PAJ7620U2手势识别传感器” 。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

Mind+ Python模式编程（行空板)

Mind+Python模式为完整Python编程，因此需要能运行完整Python的主控板，此处以行空板为例说明

1、下载及安装官网最新软件。下载地址： https://www.mindplus.cc 详细教程： Mind+基础wiki教程-软件下载安装

2、切换到“Python模式”。“扩展”中选择“官方库”中的“行空板”和“pinpong库”中的”pinpong初始化“和“PAJ7620U2手势识别传感器”。切换模式和加载库的详细操作链接

3、进行编程

4、连接行空板，程序点击运行后，可在终端查看数据。行空板官方文档-行空板快速上手教程 (unihiker.com)

以pinpong库为例，行空板官方文档-行空板快速上手教程 (unihiker.com)

#  -*- coding: UTF-8 -*-
# MindPlus
# Python
from pinpong.libs.dfrobot_paj7620u2 import PAJ7620U2
from pinpong.board import Board
Board().begin()
p_paj7620u2 = PAJ7620U2()
p_paj7620u2.set_gesture_high_rate()
while True:
    gesture = p_paj7620u2.get_gesture()[1]
    if gesture == p_paj7620u2.gesture_right:
        print("向右")
    if gesture == p_paj7620u2.gesture_left:
        print("向左")
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！ 
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