Author: Andrei-Alexandru Georgescu
Group: 332-CD

The intent is to make a hand-worn device that uses several sensors to internally store the position of each finger, as well as orientation measured with a gyroscope, and then using this data to interpret, based on set of logistic regressions, a corresponding letter according to the ASL standard alphabet.
The ML based interpretation of the gestures makes the device highly personalizable, as it could be trained for a specific individual's range of motion and manner of making the gestures.
Its primary and intended purpose is to interpret gestures, but it can also be used, once trained, in an educational fashion as it uses an LED to signal if the gesture is recognized.

An important part of the project's logic is based on the 6 IMUs used. One is the “Reference Sensor” and it is mounted on the wrist such that it doesn't much experience the rotational movements of the hand. The other 5 are each mounted on a fingertip and all funnel their outputs towards the controller through an I²C multiplexer. The microcontroller is going to in turn request data from each of the sensors over the I²C line, and use the values to determine the position of each fingertip relative to the wrist.

The intended function of the project has 2 possible running modes, which determine how the positional data is used:

• Learning Mode - In Learning Mode, the expectation is that the controller is connected to a companion computer that deals with the mathematical computation of the regression weights. It is also in this mode that the connected button is intended to be used, serving as a snapshot “trigger”, recording the data at the pressing moment and sending it over USART to the companion for processing.
• Interpreting Mode - In Interpreting Mode, the expectation is that the controller has been pre-loaded with the necessary weights from a prior learning session. Here the positional data is used to sequentially calculate the “probability” of the gesture being associated to known symbol, interpreting the gesture to be the symbol with the highest “probability”, but only if it passes a minimum threshold of 80%. While a value is interpreted as known, a green led is active and internally a clock is started. If the guessed position is still the same after a half a seconds has passed, the interpretation is considered valid and written over I²C to the LCD. In Interpreting Mode, the connected button is instead used to clear the LCD screen of prior written content.

Components:

• ESP-WROOM-32
• TCA9548A I2C Multiplexer
• 1602 LCD + I2C Interface
• MPU 6050
• Button
• Green LED

Development Medium: Arduino IDE Libraries:

• Wire.h - For I²C communication.
• LiquidCrystal_I2C.h - For controlling the LCD over I²C.
• math.h - For the mathematical functions required for inference.
• MPU6500_WE.h - For controlling the IMUs used and polling them for data.

Algorithms and Datastructures:

• Multinomial Logistic Regression/Softmax Regression - Using sklearn in Python on the companion / math operation locally on the ESP32
• Wrapper Class over MPU6500
• Wrapper functions over Wire for using TCA9548
• Wrapper functions over Wire and LiquidCrystal_I2C for communicating with the LCD1602

Implemented Functions: MPU6500 functions:

• Constructor - makes the MPU6500 library object and memorizes the TCA9548 channel it is on

MPU6500::MPU6500(uint8_t mux_channel) {
  _mux_channel = mux_channel;
  _mpu = new MPU6500_WE(MPU6500_ADDRESS);
}

• init - to be called by setup, launches the IMU into autocalibration and configures it for maximum precision

void MPU6500::init() {
  tca9548_select(_mux_channel);
  _mpu->init();
  _mpu->autoOffsets();
  _mpu->enableGyrDLPF();
  _mpu->setGyrDLPF(MPU6500_DLPF_6);
  _mpu->setGyrRange(MPU6500_GYRO_RANGE_250);
  _mpu->enableAccDLPF(true);
  _mpu->setAccDLPF(MPU6500_DLPF_6);
  _mpu->setAccRange(MPU6500_ACC_RANGE_2G);
}

• get_data - to be called inside the loops, makes sure the communication is over the correct TCA9548 channel and fetches current angular data

xyzFloat MPU6500::get_data() {
  tca9548_select(_mux_channel);
  return _mpu->getAngles();
}