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Showing results 1 to 8 of 8

1
A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect

Kim, Taekyoung; Yu, Xiaoqun; Xiong, Shuping, ERGONOMICS, v.67, no.1, pp.50 - 68, 2024-01

2
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

3
A practical solution to improve the nutritional balance of Korean dine-out menus using linear programming

Kim, Jang Ho; Kim, Woo Chang; Kim, Jihye, PUBLIC HEALTH NUTRITION, v.22, no.6, pp.957 - 966, 2019-04

4
Accuracy of Base of Support Using an Inertial Sensor Based Motion Capture System

Guo, Liangjie; Xiong, Shuping, SENSORS, v.17, no.9, 2017-09

5
Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People

Qiu, Hai; Rehman, Rana Zia Ur; Yu, Xiaoqun; Xiong, Shuping, SCIENTIFIC REPORTS, v.8, 2018-11

6
Comparison of seven fall risk assessment tools in community-dwelling Korean older women

Kim, Taekyoung; Xiong, Shuping, ERGONOMICS, v.60, no.3, pp.421 - 429, 2017-03

7
Effectiveness and Usability of a Novel Kinect-Based Tailored Interactive Fall Intervention System for Fall Prevention in Older People: A Preliminary Study

KIm, Taekyoung; Xiong, Shuping, FRONTIERS IN PUBLIC HEALTH, v.10, 2022-05

8
New Hick's law based reaction test App reveals "information processing speed" better identifies high falls risk older people than "simple reaction time"

Qiu, Hai; Xiong, Shuping, INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, v.58, pp.25 - 32, 2017-03

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