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Back to main page: [[PRE2015_3_Groep4]]
Back to the main page: [[PRE2015_3_Groep4]]


To the code: [[Code]]
To the algorithm: [[Algorithm]]


To the output: [[Output]]
To the output: [[Output]]
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Gathering Real-Time data is rather easy using the Arduino. When connected with a computer through USB, an Arduino can print values directly to a Serial Monitor. Thankfully, there is an add-on<ref>''Arduino Support for Matlab,'' http://nl.mathworks.com/hardware-support/arduino-matlab.html</ref> for Matlab, which enables Matlab to read the Serial Monitor, and also return commands to the Arduino.
Gathering Real-Time data is rather easy using the Arduino. When connected with a computer through USB, an Arduino can print values directly to a Serial Monitor. Thankfully, there is an add-on<ref>''Arduino Support for Matlab,'' http://nl.mathworks.com/hardware-support/arduino-matlab.html</ref> for Matlab, which enables Matlab to read the Serial Monitor, and also return commands to the Arduino.


The Arduino needs some code to measure the input of the sound sensor, and print the values to the Serial Monitor. A figure of the code can be found at the page [[code]].  
The Arduino needs some code to measure the input of the sound sensor and print the values to the Serial Monitor. A figure of the code can be found at the page [[code]].  


Our intent was to have as much of the program running on the Arduino itself. That means that you, in theory, would be able to have the Arduino as a standalone product. In our case, that would mean you start the program from your computer, and then would be able to unplug your Arduino, since it is able to run the whole code by itself. This was however not possible because of multiple reasons. One of the reasons discussed here is saving the gathered data to read it.
Our intent was to have as much of the program running on the Arduino itself. That means that you, in theory, would be able to have the Arduino as a standalone product. In our case, that would mean you start the program from your computer, and then would be able to unplug your Arduino since it is able to run the whole code by itself. This was however not possible because of multiple reasons. One of the reasons discussed here is saving the gathered data to read it.


For a more accurate calculation of the wake up moment, as much measurements as able should be saved. The problem is the size of the information, and saving that information on the Arduino. The used Arduino (Arduino Mega<ref>''The Arduino Mega,'' https://www.arduino.cc/en/Main/ArduinoBoardMega2560</ref>) has up to 256 KB of storage. Not all of this can be used, since a lot would already be taken up by the program itself, and 8 KB for the bootloader. If we then want to review the last 30 minutes to choose the best moment to wake up (the larger the reviewed period, the more accurate the decision), the sample time has to be reduced dramatically. Reducing the sample time results in an inaccurate measurement, leading to the program not able to choose the correct moment to wake the person. For this reason, we chose to keep the laptop in the loop for this prototype, since a laptop has more than enough storage to store samples of the whole night. In our tests, the files containing all the measurements had a size of ~130 MB.
For a more accurate calculation of the wake-up moment, as many measurements as able should be saved. The problem is the size of the information, and saving that information on the Arduino. The used Arduino (Arduino Mega<ref>''The Arduino Mega,'' https://www.arduino.cc/en/Main/ArduinoBoardMega2560</ref>) has up to 256 KB of storage. Not all of this can be used since a lot would already be taken up by the program itself, and 8 KB for the bootloader. If we then want to review the last 30 minutes to choose the best moment to wake up (the larger the reviewed period, the more accurate the decision), the sample time has to be reduced dramatically. Reducing the sample time results in an inaccurate measurement, leading to the program not able to choose the correct moment to wake the person. For this reason, we chose to keep the laptop in the loop for this prototype, since a laptop has more than enough storage to store samples of the whole night. In our tests, the files containing all the measurements had a size of ~130 MB.


So, the data will be stored on the computer. This will be done with the aid of the program Gobetwino (ref). This program logged the data in a .txt file. And this file can (while Gobetwino is still logging) be futher processed in Matlab.
So, the data will be stored on the computer. This will be done with the aid of the program Gobetwino <ref>''Gobetwino,'' http://mikmo.dk/gobetwino.html </ref>. This program logged the data in a .txt file. And this file can (while Gobetwino is still logging) be further processed in Matlab.


'''KAN DIT WEG?::'''
In the figure below, the Arduino-code is shown for gathering data. See [[Measurement plan and experiments]] for the made trade-offs in for example sample frequency.
<pre>
/*---------- Pin initialization ----------*/
const int inputPin = A0;                                // Input from the sensor
const int outputPin = 13;                              // Pin for the output light


/*---------- Editable values ----------*/
[[File:workingvarfreq.JPG]]
int counter = 50;                                        // Number of averages taken. Average is taken to filter out small noise
float timeStep = 0.1;
int maxWakeUpTime = 60;                                // Alarm will wake you up no later than maxWakeUpTime
int wakeUpRange = 15;                                  // Time allowed before maxWakeUpTime
bool printPeaks = false;                                // Testing feature; if true, it will print the peak values, otherwise, it will just print the measured values
 
/*---------- Variables used by the program ----------*/
int timer = 0;                                          // Clock
int oldValueTimer;                                      // Integer to remember old value for printing, if that turns out to be a peak
float measurement;                                      // Sensor value
float currentValue = 0;                                // Current value
float oldValue;                                        // Previous value
bool oldPlus = false;                                  // Boolean to save if graph is increasing or decreasing
                                                        //                            true          false
void setup() {
Serial.begin(9600);                                    // Set up output window
Serial.println("CLEARDATA");                            // Initialization of the Excel Table, needed for the PLX-DAQ
Serial.println("LABEL,Time,Peak Value");                // Names of the rows, LABEL is for the PLX-DAQ
pinMode(inputPin, INPUT);                              // Sensor input pin
pinMode(outputPin, OUTPUT);                            // Light output pin
digitalWrite(outputPin, LOW);                          // Light starts off being out
}
 
void loop() {
  for (int i = 0; i < counter; i++){                    // Loop to take average value
    delay(1000);                                        // Progress a second
    timer = timer + timeStep;
    measurement = analogRead(inputPin);
    currentValue = currentValue + measurement;
   
    if (printPeaks == false){                            // Prints out the measurements to the Serial monitor
      Serial.print(timer);
      Serial.print(",");
      Serial.println(measurement);
    }     
  }
    currentValue = currentValue / counter;              // currentValue is now the average
 
    if (currentValue < oldValue && oldPlus == true){    // If the graph is just behind the peak (function is decreasing, but the last measurement was increasing) --> peak is found
      oldPlus = false;
 
      if (oldValueTimer >= maxWakeUpTime - wakeUpRange){ // If the peak is within waking up range
          digitalWrite(outputPin, HIGH);
      }
   
      if (printPeaks == true){                          // Print out found peaks to the Serial monitor
        Serial.print(oldValueTimer);
        Serial.print(",");
        Serial.println(oldValue);
      }
    }
   
    if (currentValue > oldValue){                        // Change oldPlus to true, indicating the function is increasing
      oldPlus = true;
    }
 
    if (timer >= maxWakeUpTime){
      digitalWrite(outputPin, HIGH);                    // Turn on the light hard coded if time is at the end of your alarm
    }
   
    oldValue = currentValue;                            // Update old value and reset the current value for the next loop
    oldValueTimer = timer;                                 
    currentValue = 0;
}
</pre>


== References ==
== References ==
<references/>
<references/>

Latest revision as of 19:12, 20 April 2016

Back to the main page: PRE2015_3_Groep4

To the algorithm: Algorithm

To the output: Output


Gathering Real-Time Data

Gathering Real-Time data is rather easy using the Arduino. When connected with a computer through USB, an Arduino can print values directly to a Serial Monitor. Thankfully, there is an add-on[1] for Matlab, which enables Matlab to read the Serial Monitor, and also return commands to the Arduino.

The Arduino needs some code to measure the input of the sound sensor and print the values to the Serial Monitor. A figure of the code can be found at the page code.

Our intent was to have as much of the program running on the Arduino itself. That means that you, in theory, would be able to have the Arduino as a standalone product. In our case, that would mean you start the program from your computer, and then would be able to unplug your Arduino since it is able to run the whole code by itself. This was however not possible because of multiple reasons. One of the reasons discussed here is saving the gathered data to read it.

For a more accurate calculation of the wake-up moment, as many measurements as able should be saved. The problem is the size of the information, and saving that information on the Arduino. The used Arduino (Arduino Mega[2]) has up to 256 KB of storage. Not all of this can be used since a lot would already be taken up by the program itself, and 8 KB for the bootloader. If we then want to review the last 30 minutes to choose the best moment to wake up (the larger the reviewed period, the more accurate the decision), the sample time has to be reduced dramatically. Reducing the sample time results in an inaccurate measurement, leading to the program not able to choose the correct moment to wake the person. For this reason, we chose to keep the laptop in the loop for this prototype, since a laptop has more than enough storage to store samples of the whole night. In our tests, the files containing all the measurements had a size of ~130 MB.

So, the data will be stored on the computer. This will be done with the aid of the program Gobetwino [3]. This program logged the data in a .txt file. And this file can (while Gobetwino is still logging) be further processed in Matlab.

In the figure below, the Arduino-code is shown for gathering data. See Measurement plan and experiments for the made trade-offs in for example sample frequency.

Workingvarfreq.JPG

References

  1. ↑ Arduino Support for Matlab, http://nl.mathworks.com/hardware-support/arduino-matlab.html
  2. ↑ The Arduino Mega, https://www.arduino.cc/en/Main/ArduinoBoardMega2560
  3. ↑ Gobetwino, http://mikmo.dk/gobetwino.html
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