TensorFlow Lite - Magic Wand
• Adafruit LSM9DS1 accelerometer
• LED x 2
AMB21 / AMB22 Wiring Diagram:
Connect the Accelerometer and LEDs to the board shown in the following diagram.
For AMB23, we will use the onboard LEDs on the board itself.
For BW16, we will use the onboard LED on the board itself.
BW16 type C:
Download the Ameba customized version of TensorFlow Lite for Microcontrollers library at https://github.com/ambiot/ambd_arduino/tree/master/Arduino_zip_libraries.
Follow the instructions at https://docs.arduino.cc/software/ide-v1/tutorials/installing-libraries to install it.
Ensure that the patch files found at https://github.com/ambiot/ambd_arduino/tree/master/Ameba_misc/ are also installed.
Open the example, “Files” -> “Examples” -> “TensorFlowLite_Ameba” -> “magic_wand”.
Upload the code and press the reset button on Ameba board once the upload has completed.
Holding the Accelerometer steady, with the position x-axis pointing to the right and the positive z-axi pointing upwards, move it following the shapes as shown, moving it in a smooth motion over 1 to 2 seconds, avoiding any sharp movements.
If the movement is recognised by the Tensorflow Lite model, you should see the same shape output to the Arduino serial monitor. Different LEDs will light up corresponding to different recognized gestures.
Note that the wing shape is easy to achieve, while the slope and ring shapes tend to be harder to get right.
More information on TensorFlow Lite for Microcontrollers can be found at: https://www.tensorflow.org/lite/microcontrollers