User Manual

5. Open the serial plotter of arduino IDE and the myoelectricity waveform could be seen.
In general, the waveform is a line of 0 when the muscle is relaxed, shown as below. It is normal along with occasional peak waveform.
(/wiki/index.php/File:%E8%82%8C%E7%94%B5%E4%BF%A1%E5%8F%B7_%E6%94%BE%E6%9D%BE.png)
Obviously myoelectricity waveform could been seen in the process of making a fist, shown as below.
(/wiki/index.php/File:%E8%82%8C%E7%94%B5%E4%BF%A1%E5%8F%B7_%E6%8F%A1%E6%8B%B3.png)
Basic Application
This application explains the way to distinguish whether the EMG signal is made by fisting counts. It can be applied to push-up counts, dumbbell curl counts. It also can be
applied to human-computer interaction, such as play Flappy Bird with EMG signal made by fist.
Please refer to the Chapter 4: 4.1 Preparation and 4.2 Connection Diagram for hardware connection and sensor position.
This sample code needs EMGFilters library file, please download and install the EMGFilters Library (https://codeload.github.com/yuyouliang/EMG_Filter/zip/master) first.
How to install Libraries in Arduino IDE (https://www.arduino.cc/en/Guide/Libraries#.UxU8mdzF9H0%7C)