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NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
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A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors![]() Yu, Xiaoqun; Qiu, Hai; Xiong, Shuping, Frontiers in Bioengineering and Biotechnology, v.8, no.63, 2020-02 | |
Epidemiology of fall and its socioeconomic risk factors in community-dwelling Korean elderly![]() Kim, Taekyoung; Choi, Sang D.; Xiong, Shuping, PLOS ONE, v.15, no.6, 2020-06 | |
Development and validation of a wearable inertial sensors-based automated system for assessing work-related musculoskeletal disorders in the workspace![]() Huang, Chunxi; Kim, Woojoo; Zhang, Yanxin; Xiong, Shuping, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v.17, no.17, pp.6050, 2020-09 | |
A Large-scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors![]() Yu, Xiaoqun; Jang, Jake; Xiong, Shuping, FRONTIERS IN AGING NEUROSCIENCE, v.13, pp.692865, 2021-07 |
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