Setup and procedure

Setup

• Review the definition of acceleration and discuss the different uses of accelerometers in every-day devices.
• Explore how the micro:bit measures motion along the X, Y and Z axis using the ||input:acceleration|| block in MakeCode.
• Code the micro:bit to collect and store acceleration values using the data logger blocks.
• Create a space to race with a start and finish line.
• Group students to race in heats.
• Download the data from the micro:bits and analyze the results.
• Compare student scores to see who the winner is.
• Debrief on the results.

Code

This project will use the Data Logger extension which only works on the micro:bit v2.

• Create a new project.
• Click on Extensions in the Toolbox and add the Data Logger Extension.

Note: The Data Logger extension allows you to collect data from the micro:bit sensors and store in a file on the micro:bit device. Because of this, it is good for long-running experiments, or experiments where the micro:bit is away from the computer. The micro:bit v2 has 512 KB of flash memory, so be careful of how much data you collect - once you reach the limit, you won’t be able to collect any more!

• Log data every 1 second - from the ||loops:Loops|| category, drag an ||loops:every 500ms|| block out on the workspace.
• Click on the drop-down menu to change to 1 second (1000 milliseconds).

loops.everyInterval(1000, function () {

})

• From the ||datalogger:Data Logger|| category, drag a ||datalogger:log data|| block into the ||loops:every 1000ms|| block.
• In the ||datalogger:log data|| block, click on the plus (+) icon twice to add 2 more data fields to the log.
• Name these columns: “AX”, “AY” and “AZ” to represent the three axis of motion (alternately you can name them more descriptive names like “TiltLeftRight”, “TiltForwardBack” or “MoveUpDown”).

loops.everyInterval(1000, function () {
    datalogger.log(
        datalogger.createCV("AX", 0),
        datalogger.createCV("AY", 0),
        datalogger.createCV("AZ", 0)
    )
})

• From the ||input:Input|| category, drag three ||input:acceleration|| blocks into the ||datalogger:log data|| block, replacing the values of 0.
• Using the drop-down menus, change the second and third ||input:acceleration|| blocks to y and z.

loops.everyInterval(1000, function () {
    datalogger.log(
        datalogger.createCV("AX", input.acceleration(Dimension.X)),
        datalogger.createCV("AY", input.acceleration(Dimension.Y)),
        datalogger.createCV("AZ", input.acceleration(Dimension.Z))
    )
})

Notice in the micro:bit simulator, you can start to see simulated data. Click the Show data Simulator button. Try moving your mouse cursor over the on-screen micro:bit to simulate movement and see how the accelerometer values that are logged every 1 second change. Click on the Go back button to return to the editor.

Now that we are collecting accelerometer data, we need a way to start and stop data collection. To do this, we will use a flag. A flag is a Boolean variable - meaning, that it can only hold true or false values. You can think of a flag as a light switch - it is either on or off. Software developers often use feature flags to enable or disable certain features in a product.

• From the ||input:Input|| category, drag two ||input:on button pressed|| blocks onto the workspace.
• In one of the ||input:on button pressed|| blocks, click on the drop-down menu to change to button B.

input.onButtonPressed(Button.A, function () {

})
input.onButtonPressed(Button.B, function () {

})

• In the ||variables:Variables|| category, click on the Make a Variable button.
• Name this variable “IsLogging” and press Ok.
• From the ||variables:Variables|| category, drag two ||variables:Set IsLogging|| blocks and drop one each into the ||input:on button A pressed|| and ||input:on button B pressed|| blocks.
• From the ||logic:Logic|| category, drag a ||logic:true|| block into the Button A ||variables:Set IsLogging|| block replacing the 0.
• From the ||logic:Logic|| category, drag a ||logic:false|| block into the Button B ||variables:Set IsLogging|| block replacing the 0.

let IsLogging = false
input.onButtonPressed(Button.A, function () {
    IsLogging = true
})
input.onButtonPressed(Button.B, function () {
    IsLogging = false
})

• From the ||logic:Logic|| category, drag a ||logic:if true then|| block out into the ||loops:every 1000ms|| block to surround the ||datalogger:log data|| block.
• From the ||variables:Variables|| category, drag a ||variables:IsLogging|| block into the ||logic:if true then|| block replacing ||logic:true||.

let IsLogging = false
loops.everyInterval(1000, function () {
    if (IsLogging) {
        datalogger.log(
            datalogger.createCV("AX", input.acceleration(Dimension.X)),
            datalogger.createCV("AY", input.acceleration(Dimension.Y)),
            datalogger.createCV("AZ", input.acceleration(Dimension.Z))
        )
    }
})

Lastly, let’s add a visual indicator that our micro:bit is logging data.

• From the ||basic:Basic|| category, drag a ||basic:show icon|| block into the ||logic:if true then|| block just above the ||datalogger:log data|| block.
• Using the icon drop-down menu select an image that represents data logging to you.
• From the ||basic:Basic|| category, drag a ||basic:clear screen|| block and drop after the ||basic:show icon|| block.

Note that the default behavior of the data logger is to append data to the data log file until you download a new program to the micro:bit. If you would like to wipe all previous data from the data log file, you can add a ||datalogger:delete log|| block. This will delete all existing data from the log each time you press button A to start the data collection.

let IsLogging = false
input.onButtonPressed(Button.A, function () {
    datalogger.deleteLog()
    IsLogging = true
})

Your complete code should look something like this:

let IsLogging = false
input.onButtonPressed(Button.A, function () {
    datalogger.deleteLog()
    IsLogging = true
})
input.onButtonPressed(Button.B, function () {
    IsLogging = false
})
loops.everyInterval(1000, function () {
    if (IsLogging) {
        basic.showIcon(IconNames.SmallDiamond)
        basic.clearScreen()
        datalogger.log(
            datalogger.createCV("AX", input.acceleration(Dimension.X)),
            datalogger.createCV("AY", input.acceleration(Dimension.Y)),
            datalogger.createCV("AZ", input.acceleration(Dimension.Z))
        )
    }
})

Sample code file: https://makecode.microbit.org/_Ur50YwCAxeEf

Try it out in the simulator by pressing the A button to start collecting data, and press the B button to stop data collection.

Download the code onto the micro:bit, and then connect the micro:bit to a battery pack.

Let’s Race!

After coding the micro:bit, assemble it together on a spoon. You can either place it by itself, or construct some sort of carrier to make it easier to carry with a spoon. Just be sure you can access the A and B buttons.

A micro:bit paper holder that comes with the Go Kit:

Affixing the micro:bit to an egg:

Carrying it loose:

When you are ready to race, press button A to start the race, and press button B to end the race. Do not press the buttons again until you can download your data from the micro:bit.

Analyze the Data

After the race, plug your micro:bit back into a computer using the USB cable. Use the file explorer, navigate to the MICROBIT drive, and double click the MY_DATA.htm file.

You will see your data from the race in a table format.

You can click to see a visual preview of the data as well.

Click the Download button to download your data to a microbit.csv file, then open it with Excel. Create a line chart for the data table with time on the X axis.

Perform the following calculations:

• Calculate Time Elapsed: End_Time – Start_Time

• Calculate the difference between the acceleration values for AX, AY and AZ columns: Maximum_Value – Minimum_Value

• Calculate the average of the three axis of movement: Average(AX, AY, AZ)

• Compare each student’s time and average spread of motion results in a table. The student with the shortest time, and the lowest average acceleration value spread wins the race!

See sample result data: https://aka.ms/SpoonRaceExcel

Debrief

Discuss the results of the experiment:

• What was the pattern for the most successful racers?
• Were there instances where the data collection failed?
• Were there outlier data points in any of the races?
• What could that indicate?
• Are there any other ways you might calculate the winning criteria?

datalogger