Gait Data Analysis
Evidence of Work
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Content
For this project we split into groups and analyzed the gait of one of the members using an accelerometer. As a class we were to determine the x, y, and z axis of the phone. Through collecting our data we created different trials. For our first trial set my group had the phone placed at the bellybutton walking at a constant pace. In the second trial set we moved the phone to our subjects right ankle. For our third trial set our subject was holding his phone in his right hand. In our last trial set the phone was placed at the center of gravity but our subject was running. With the data gathered we transferred it into a google sheet and plotted the data on a chart. The button will take you to the data that was put into a class shared sheet.
Reflections
I found this to be a interesting class experiment. I would not necessarily it was my favorite but I did learn a lot of new things from it. Some high points for me were learning what an accelerometer was. I really enjoyed knowing that my cellular device could collect this type of data. I also though it was very interesting to be able to predict the gait of an adult or child from the data we had collected. Some lows for me was knowing that the data was not very accurate. There were many factors into place that made the data not as solid as I wish it could be. This includes human error, and the fact that the data was collected off an app on a phone. I personally had a lot of trouble with understanding data. Converting it, putting it into sheets, and creating a chart from the data. Luckily I had two amazing group members, Michael and Noah, who helped me understand the data and convert it. This project was not my favorite but it was most definitely a good learning experience.
For this project we split into groups and analyzed the gait of one of the members using an accelerometer. As a class we were to determine the x, y, and z axis of the phone. Through collecting our data we created different trials. For our first trial set my group had the phone placed at the bellybutton walking at a constant pace. In the second trial set we moved the phone to our subjects right ankle. For our third trial set our subject was holding his phone in his right hand. In our last trial set the phone was placed at the center of gravity but our subject was running. With the data gathered we transferred it into a google sheet and plotted the data on a chart. The button will take you to the data that was put into a class shared sheet.
Reflections
I found this to be a interesting class experiment. I would not necessarily it was my favorite but I did learn a lot of new things from it. Some high points for me were learning what an accelerometer was. I really enjoyed knowing that my cellular device could collect this type of data. I also though it was very interesting to be able to predict the gait of an adult or child from the data we had collected. Some lows for me was knowing that the data was not very accurate. There were many factors into place that made the data not as solid as I wish it could be. This includes human error, and the fact that the data was collected off an app on a phone. I personally had a lot of trouble with understanding data. Converting it, putting it into sheets, and creating a chart from the data. Luckily I had two amazing group members, Michael and Noah, who helped me understand the data and convert it. This project was not my favorite but it was most definitely a good learning experience.