The dataset was curated by hand using accelerometer data from our mobile phones. In total, we had 300 datasets of different elevations and smooth gaits. Utilizing x, y, and z coordinates of movement with WolframAlpha Mathematica, we pre-processed the data to fit a pre-trained image classification model. 

​

Dataset was collected on-site in the timeframe of 36 hours. 

​

​

​