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wafa_ath

•Created by wafa_ath on 9/27/2024 in #edge-networking

Fixing IndexError in Gesture Recognition with TinyML on ESP32

After resolving the previous issues in my gesture recognition project on the ESP32 with TinyML, I’m now encountering a new problem. The program crashes intermittently with the following error:

IndexError: index 3 is out of bounds for axis 0 with size 3

IndexError: index 3 is out of bounds for axis 0 with size 3

This happens when I try to run inference. Here’s the relevant section of the code:

def get_sensor_data():
    accel = mpu.accel
    return np.array([accel.x, accel.y, accel.z])  # Collect accelerometer data

while True:
    try:
        data = get_sensor_data()
        gesture = predict_gesture(data)  # Run inference on sensor data

        if gesture == "wave":
            print("Wave gesture detected!")
        elif gesture == "swipe":
            print("Swipe gesture detected!")
        else:
            print("No gesture detected")

        time.sleep(0.3)

    except Exception as e:
        print("Error:", e)
        time.sleep(1)

def get_sensor_data():
    accel = mpu.accel
    return np.array([accel.x, accel.y, accel.z])  # Collect accelerometer data

while True:
    try:
        data = get_sensor_data()
        gesture = predict_gesture(data)  # Run inference on sensor data

        if gesture == "wave":
            print("Wave gesture detected!")
        elif gesture == "swipe":
            print("Swipe gesture detected!")
        else:
            print("No gesture detected")

        time.sleep(0.3)

    except Exception as e:
        print("Error:", e)
        time.sleep(1)

It seems the error occurs when passing data to the predict_gesture function. I suspect that the shape of the data might be incorrect or the model is expecting more input features than provided. How can I fix this IndexError and ensure the sensor data has the correct shape for inference?

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