SPECIAL SECTION ON DATA-ENABLED INTELLIGENCE FOR DIGITAL HEALTH Received November 7, 2019, accepted November 21, 2019, date of publication December 2, 2019, date of current version December 16, 2019. Digital Object Identifier 10.1109/ACCESS.2019.2957179 Depression Prevalence in Postgraduate Students and Its Association With Gait Abnormality JING FANG 1, TAO WANG 2, (Student Member, IEEE), CANCHENG LI 2, XIPING HU 1,2, (Member, IEEE), EDITH NGAI 3, (Senior Member, IEEE), BOON-CHONG SEET 4, (Senior Member, IEEE), JUN CHENG 1, YI GUO 5, AND XIN JIANG 6 1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China 2School of Information Science and Engineering, Lanzhou University, Gansu 730000, China 3Department of Information Technology, Uppsala University, Uppsala 75105, Sweden 4Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand 5Department of Neurology, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518020, China 6Department of Geriatrics, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518020, China Corresponding authors: Xiping Hu (
[email protected]) and Xin Jiang (
[email protected]) This work was supported in part by Shenzhen Technology under Project JSGG20170413171746130, in part by the National Natural Science Foundation of China under Grant 61632014, Grant 61802159, Grant 61210010, Grant 61772508, and Grant 61402211, and in part by the Program of Beijing Municipal Science and Technology Commission under Grant Z171100000117005. ABSTRACT In recent years, an increasing number of university students are found to be at high risk of depression.