Boss lady Comments - Answer Overflow

Boss lady

•Created by Enthernet Code on 6/27/2024 in #middleware-and-os

Can i use Edge Impulse to collect data, train a model and deploy it on an Arduino Nano 33 BLE Sense

Yea, @Enthernet Code after applying this changes and modifications your code should look like

#include <Arduino_LSM9DS1.h> // Include the library for the accelerometer
#include <edge-impulse-sdk/classifier/ei_run_classifier.h> // Include Edge Impulse SDK

#define THRESHOLD 0.5 // Define the threshold for anomaly detection

// Function to initialize the Edge Impulse model
void initializeModel() {
  // Initialize the Edge Impulse model
  if (ei_impulse_init() != EI_IMPULSE_OK) {
    Serial.println("Failed to initialize Edge Impulse model");
    while (1); // Stop execution if initialization fails
  }
}

void setup() {
  // Start serial communication
  Serial.begin(9600);
  
  // Initialize Edge Impulse model
  initializeModel();
  
  // Initialize the accelerometer
  if (!IMU.begin()) {
    Serial.println("Failed to initialize IMU!");
    while (1);
  }

  // Set built-in LED pin as output
  pinMode(LED_BUILTIN, OUTPUT);
}

void collectData(ei::signal_t* signal) {
  float x, y, z;
  static float features[EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE] = { 0 };
  static int feature_index = 0;

  // Read data from the accelerometer
  if (IMU.accelerationAvailable()) {
    IMU.readAcceleration(x, y, z);

    // Fill the feature array with the collected data
    features[feature_index++] = x;
    features[feature_index++] = y;
    features[feature_index++] = z;

    // Reset the index if it exceeds the frame size
    if (feature_index >= EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE) {
      feature_index = 0;
    }

#include <Arduino_LSM9DS1.h> // Include the library for the accelerometer
#include <edge-impulse-sdk/classifier/ei_run_classifier.h> // Include Edge Impulse SDK

#define THRESHOLD 0.5 // Define the threshold for anomaly detection

// Function to initialize the Edge Impulse model
void initializeModel() {
  // Initialize the Edge Impulse model
  if (ei_impulse_init() != EI_IMPULSE_OK) {
    Serial.println("Failed to initialize Edge Impulse model");
    while (1); // Stop execution if initialization fails
  }
}

void setup() {
  // Start serial communication
  Serial.begin(9600);
  
  // Initialize Edge Impulse model
  initializeModel();
  
  // Initialize the accelerometer
  if (!IMU.begin()) {
    Serial.println("Failed to initialize IMU!");
    while (1);
  }

  // Set built-in LED pin as output
  pinMode(LED_BUILTIN, OUTPUT);
}

void collectData(ei::signal_t* signal) {
  float x, y, z;
  static float features[EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE] = { 0 };
  static int feature_index = 0;

  // Read data from the accelerometer
  if (IMU.accelerationAvailable()) {
    IMU.readAcceleration(x, y, z);

    // Fill the feature array with the collected data
    features[feature_index++] = x;
    features[feature_index++] = y;
    features[feature_index++] = z;

    // Reset the index if it exceeds the frame size
    if (feature_index >= EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE) {
      feature_index = 0;
    }

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