1 | 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 |
2 | An automated system for motor function assessment in stroke patients using motion sensing technology: A pilot study Sheng, Bo; Wang, Xiangbin; Hou, Meijin; Huang, Jia; Xiong, Shuping; Zhang, Yanxin, MEASUREMENT, v.161, 2020-09 |
3 | 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 |
4 | 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 |
5 | Effects of working posture, lifting load, and standing surface on postural instability during simulated lifting tasks in construction Guo, Liangjie; Xiong, Shuping, ERGONOMICS, v.63, no.12, pp.1571 - 1583, 2020-12 |