Improving Gesture Recognition Consistency on ESP32 with TinyML

E (1155) task_wdt: Task watchdog got triggered. The following tasks did not reset the watchdog in time:
 - IDLE (CPU 0)
 - ml_task
Tasks currently running:
CPU 0: ml_task
CPU 1: IDLE

from machine import Pin, I2C
from mpu6050 import MPU6050
import time
import numpy as np
from tinyml_model import predict_gesture  # Edge Impulse generated model

# Initialize MPU6050
i2c = I2C(0, scl=Pin(22), sda=Pin(21))
mpu = MPU6050(i2c)

# Function to collect data from MPU6050
def get_sensor_data():
    accel = mpu.accel
    return np.array([accel.x, accel.y, accel.z])

# Main loop for gesture recognition
while True:
    try:
        data = get_sensor_data()
        gesture = predict_gesture(data)  # Run inference on collected data

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

        time.sleep(0.5)  # Delay to avoid rapid re-inference

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