Hyunhwa 'Henna' Lee (Nursing) published "Detection of Walking Features Using Mobile Health and Deep Learning" in Applied Sciences, with Sungchul Lee (Computer Sciences) of Sun Moon University in South Korea. Acceleration and rotational data of walking movement collected in real time from a small sample of mild traumatic brain injury (mTBI) using the team's mobile health (mHealth) application were used to train and test a deep learning model (Tensorflow and Keras). The deep learning model in this paper showed 99.5 percent accuracy for classifying subjects' walking features and 99.9 percent when all datasets combined. The team will continue collecting mHealth walking data for advancing the deep learning model that can monitor and detect acute signs and symptoms after mTBI.