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February 25, 2020 23:09
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Low Cost Arduino DAQ Example
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| #include <Wire.h> | |
| #include <Adafruit_MSA301.h> | |
| #include <Adafruit_Sensor.h> | |
| Adafruit_MSA301 msa; | |
| void setup() { | |
| // Open serial port | |
| Serial.begin(250000); | |
| // Initialize MSA301 | |
| if (!msa.begin()) { | |
| Serial.println("Error: Could not find MSA301 chip"); | |
| while (1); | |
| } | |
| } | |
| void loop() { | |
| char c; | |
| // Wait until we get an 'r' on the serial line | |
| if (Serial.available()) { | |
| c = Serial.read(); | |
| if (c == 'r') { | |
| // Get new MSA reading | |
| msa.read(); | |
| // Print out results | |
| Serial.print(msa.x_g); | |
| Serial.print('\t'); | |
| Serial.print(msa.y_g); | |
| Serial.print('\t'); | |
| Serial.println(msa.z_g); | |
| } | |
| } | |
| } |
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Requirement already satisfied: pyserial in c:\\users\\sgmustadio\\anaconda3\\envs\\tensorflow\\lib\\site-packages (3.4)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "#!python -m pip install pyserial" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import serial\n", | |
| "import numpy as np\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "import time" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# Settings\n", | |
| "serial_port = 'COM19'\n", | |
| "baud_rate = 250000\n", | |
| "label_name = 'circle'\n", | |
| "num_class_samples = 10 # Number of samples to collect for this label category\n", | |
| "time_per_sample = 2.0 # Seconds\n", | |
| "accel_sample_rate = 100 # Times per second (Hz) to read from acceleromater\n", | |
| "num_accel_samples = int(time_per_sample * accel_sample_rate)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "b'0.03\\t-0.02\\t0.98\\r\\n'\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Test Serial port (open, wait for Arduino to reset, read line, close)\n", | |
| "ser = serial.Serial(serial_port, baud_rate, timeout=1)\n", | |
| "time.sleep(2)\n", | |
| "ser.write('r'.encode('ascii'))\n", | |
| "line = ser.readline()\n", | |
| "ser.close()\n", | |
| "print(line)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# Open serial port and read lines\n", | |
| "def capture_accel(ser, nsamples):\n", | |
| " samples = np.zeros((nsamples, 3))\n", | |
| " for i in range(nsamples):\n", | |
| " \n", | |
| " # Use timer to determine when to take measurement next\n", | |
| " start = time.time()\n", | |
| " \n", | |
| " # Transmit 'r' to have Arduino respond with X, Y, and Z acceleration\n", | |
| " ser.write('r'.encode('ascii'))\n", | |
| " line = ser.readline()\n", | |
| " parsed = line.decode().rstrip().split('\\t')\n", | |
| " sample = np.array([float(axis) for axis in parsed])\n", | |
| " samples[i] = sample\n", | |
| " \n", | |
| " # Wait before reading again\n", | |
| " while (time.time() - start) < (1. / accel_sample_rate):\n", | |
| " pass\n", | |
| " \n", | |
| " return samples" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Waiting for Arduino to reset...\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 0 captured with shape: (200, 3)\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 1 captured with shape: (200, 3)\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 2 captured with shape: (200, 3)\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 3 captured with shape: (200, 3)\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 4 captured with shape: (200, 3)\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 5 captured with shape: (200, 3)\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 6 captured with shape: (200, 3)\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 7 captured with shape: (200, 3)\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 8 captured with shape: (200, 3)\n", | |
| "Press enter and draw shape with board\n", | |
| "Sample 9 captured with shape: (200, 3)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Capture sample set\n", | |
| "accel_data = np.zeros((num_class_samples, num_accel_samples, 3))\n", | |
| "ser = serial.Serial(serial_port, baud_rate, timeout=1)\n", | |
| "print('Waiting for Arduino to reset...')\n", | |
| "time.sleep(2)\n", | |
| "i = 0\n", | |
| "while i < num_class_samples:\n", | |
| " input('Press enter and draw shape with board')\n", | |
| " try:\n", | |
| " \n", | |
| " # Get sample from Arduino\n", | |
| " samples = capture_accel(ser, num_accel_samples)\n", | |
| " accel_data[i] = np.array(samples)\n", | |
| " print('Sample', i, 'captured with shape:', accel_data[i].shape)\n", | |
| " i += 1\n", | |
| " \n", | |
| " except:\n", | |
| " print('Error parsing samples. Try again.')\n", | |
| " pass\n", | |
| "ser.close()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1008x144 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1008x144 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1008x144 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1008x144 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1008x144 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# Plot a few\n", | |
| "for sample_idx in range(5):\n", | |
| " fig = plt.figure(figsize=(14,2))\n", | |
| " ax = fig.add_subplot(111)\n", | |
| " ax.plot(accel_data[sample_idx, :, 0], label='x')\n", | |
| " ax.plot(accel_data[sample_idx, :, 1], label='y')\n", | |
| " ax.plot(accel_data[sample_idx, :, 2], label='z')\n", | |
| " plt.legend(loc='upper left')\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# Save raw accelerometer data\n", | |
| "np.save(label_name, accel_data)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "[[[-0.5 -0.01 0.85]\n", | |
| " [-0.5 -0.01 0.85]\n", | |
| " [-0.49 -0.01 0.85]\n", | |
| " ...\n", | |
| " [-0.43 0.02 0.88]\n", | |
| " [-0.42 0.02 0.88]\n", | |
| " [-0.43 0.01 0.88]]\n", | |
| "\n", | |
| " [[-0.45 0.01 0.87]\n", | |
| " [-0.45 0.01 0.88]\n", | |
| " [-0.45 0.01 0.87]\n", | |
| " ...\n", | |
| " [-0.43 -0.01 0.9 ]\n", | |
| " [-0.43 -0. 0.89]\n", | |
| " [-0.43 -0.01 0.89]]\n", | |
| "\n", | |
| " [[-0.45 0.01 0.87]\n", | |
| " [-0.45 0.02 0.87]\n", | |
| " [-0.44 0.02 0.88]\n", | |
| " ...\n", | |
| " [-0.23 -0.05 0.97]\n", | |
| " [-0.22 -0.05 0.97]\n", | |
| " [-0.23 -0.05 0.95]]\n", | |
| "\n", | |
| " ...\n", | |
| "\n", | |
| " [[-0.31 0.18 0.98]\n", | |
| " [-0.3 0.19 0.97]\n", | |
| " [-0.29 0.21 0.97]\n", | |
| " ...\n", | |
| " [-0.27 0.06 0.95]\n", | |
| " [-0.26 0.06 0.95]\n", | |
| " [-0.27 0.06 0.95]]\n", | |
| "\n", | |
| " [[-0.27 0.13 0.92]\n", | |
| " [-0.27 0.13 0.92]\n", | |
| " [-0.27 0.15 0.91]\n", | |
| " ...\n", | |
| " [-0.35 0.02 0.92]\n", | |
| " [-0.34 0.02 0.92]\n", | |
| " [-0.34 0.02 0.93]]\n", | |
| "\n", | |
| " [[ 0.1 0.4 0.53]\n", | |
| " [ 0.09 0.32 0.49]\n", | |
| " [ 0.1 0.34 0.52]\n", | |
| " ...\n", | |
| " [-0.32 0.07 0.91]\n", | |
| " [-0.32 0.07 0.92]\n", | |
| " [-0.33 0.06 0.91]]]\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Test: load array\n", | |
| "test_data = np.load(label_name + '.npy')\n", | |
| "print(test_data)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.7.5" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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