 This study compared the performance of four different machine learning algorithms when applied to sensor data collected during walking. The results showed that two algorithms, random forest and convolutional neural networks, provided better predictions than the other two algorithms. These algorithms also had a lower computational cost and could be used to accurately predict the target variables. This article was authored by Shema Mohamedi Mogadam, Ted Young, and Julie Quarson.