During the course Making Sense of Sensors, I was introduced into the varies kind of ways in which you can collect data and analyze data. The knowledge I gained in this course was immediately applied to Project 3. In Project 3 we used self-made sensors from the University of Twente. We placed four sensors, each in a different place with three different children. We gathered a huge amount of data which we had to analyze. In this project I learned a lot about how to analyze quantitative data. I learned how to see a certain pattern, establish a formula from the calibrated data, see if the data of multiple people had the same patterns.
In my internship I had to analyze a large user test, with data from 32 people. In this assignment I worked on analyzing qualitative data. For this I categorized all the comments and created a visual of the data.
During my Final Bachelor Project, I used accelerometers. In the beginning of my project I saved data from the accelerometers to see if I could find a pattern in certain movements. Later in my project, when I was creating my prototype, I was experimenting with the values of the accelerometers. The concept is that the vibration motor would vibrate, when one accelerometer moved for a certain amount of time and the other accelerometer would not move. In the code, the values of the accelerometer were transformed into a running average. If the average was below a certain threshold, the vibration motor would start to vibrate. It took some experimenting before this worked.
I think it is very valuable to have skills in this area. Nowadays, everything generates data, also devices in healthcare. So, I think that, when I want to become a healthcare designer, skills in this area will be very useful.
Currently I am working on a project which visualizes live data from a stretch sensor. The data is visualized using light. This is a project for the course Sensors for Physiology.