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Spatial Interaction FS2023 Sensor Exercise

We directly experience an environment via the Umwelt created from our perception. We can note further phenomena outside of our perception through deductive reasoning (I can’t see UV radiation, but I can recognise its presence through a sunburn) or through technological means, we might expand our perception.

Investigate an invisible phenomenon in Stadionbrache by recording sensor data in those spaces. Briefly analyse your findings and visualise the results for the class.

Exercise 1: Recording

Hook up a sensor of your choice to the MKR1310 and record the data using examples on the Github. Feel free to use the environmental combo, which is already set up in the example.

  1. Find an appropriate library and run the example for the sensor of your choosing. Modify the example to print out comma-separated sensor values over serial at 9600 baud in the following format. The github rep has an example already set up for the environmental combo.

      Serial.print("{\"sensorNameOne\":");
  Serial.print(sensorData1);
  Serial.print(",");
  
  Serial.print("\"sensorNameTwo\":");
  Serial.print(sensorData2);
  Serial.print("}");
  Serial.println();

  2. On one computer install and run the JsonReciever Processing sketch to record the sensor data to a JSON file.

  3. Take some notes and photos of where you recorded the data. Be careful to name and organise your JSON files!

Exercise 2: Visualising

Analyse the sensor data and choose an appropriate visualization. This can be done through an analog sketch or with digital tools. Use the JsonAverageValues Processing sketch to get a quick average of the values from one place.

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