phickies / gesturexr

A interactive controller hand gesture tracker implement Deep Learning for extracting command

go to the library, add this line of code to the getSensorData function:

/// @brief Gets data from the sensor. Must be called to update the data struct /// @return Error code (0 is success, negative is failure, positive is warning) int8_t BMI270::getSensorData() { // Variable to track errors returned by API calls int8_t err = BMI2_OK;

// Get raw data from sensor
bmi2_sens_data rawData;
err = bmi2_get_sensor_data(&rawData, &sensor);
if(err != BMI2_OK) return err;

data.accelX = rawData.acc.x;
data.accelY = rawData.acc.y;
data.accelZ = rawData.acc.z;

data.gyroX = rawData.gyr.x;
data.gyroY = rawData.gyr.y;
data.gyroZ = rawData.gyr.z;

// Convert raw data to g's and deg/sec
// convertRawData(&rawData, &data);

return BMI2_OK;

}

After that, go to the header file of the library and change the variable type of to int16_t

struct BMI270_SensorData { // Acceleration in g's int16_t accelX; int16_t accelY; int16_t accelZ;

// Rotation in deg/sec
int16_t gyroX;
int16_t gyroY;
int16_t gyroZ;

// Auxiliary sensor data, raw bytes
uint8_t auxData[BMI2_AUX_NUM_BYTES];

// Time of this data in milliseconds, measured by sensor
uint32_t sensorTimeMillis;

};