1 | A comprehensive comparison of accuracy and practicality of different types of algorithms for pre-impact fall detection using both young and old adults Yu, Xiaoqun; Koo, Bummo; Jang, Jaehyuk; Kim, Youngho; Xiong, Shuping, MEASUREMENT, v.201, 2022-09 |
2 | A Dynamic Time Warping Based Algorithm to Evaluate Kinect-Enabled Home-Based Physical Rehabilitation Exercises for Older People![open access](/image/layout/oa_logo.png) Yu, Xiaoqun; Xiong, Shuping, SENSORS, v.19, no.13, pp.1 - 17, 2019-07 |
3 | A Large-scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors![open access](/image/layout/oa_logo.png) Yu, Xiaoqun; Jang, Jake; Xiong, Shuping, FRONTIERS IN AGING NEUROSCIENCE, v.13, pp.692865, 2021-07 |
4 | 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 |
5 | A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors![open access](/image/layout/oa_logo.png) Yu, Xiaoqun; Qiu, Hai; Xiong, Shuping, Frontiers in Bioengineering and Biotechnology, v.8, no.63, 2020-02 |
6 | A Novel Semi-supervised Model for Pre-impact Fall Detection with Limited Fall Data Yu, Xiaoqun; Xiong, Shuping, Engineering Applications of Artificial Intelligence, v.132, 2024-05 |
7 | A practical wearable fall detection system based on tiny convolutional neural networks Yu, Xiaoqun; Park, Seonghyeok; Kim, Doil; Kim, Eungjin; Kim, Jaewon; Kim, Woosub; An, Yechan; et al, BIOMEDICAL SIGNAL PROCESSING AND CONTROL, v.86, 2023-09 |
8 | Application of dynamic time warping based algorithm for motion similarity evaluation and development of a home-based interactive fall intervention system = 동작 유사성 평가를 위한 동적 시간 워핑 기반 알고리즘의 적용 및 가정용 상호적 낙상 중재 시스템 개발link Yu, Xiaoqun; Xiong, Shuping; et al, 한국과학기술원, 2018 |
9 | Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People![open access](/image/layout/oa_logo.png) Qiu, Hai; Rehman, Rana Zia Ur; Yu, Xiaoqun; Xiong, Shuping, SCIENTIFIC REPORTS, v.8, 2018-11 |
10 | Data augmentation to address various rotation errors of wearable sensors for robust pre-impact fall detection Yu, Xiaoqun; Ma, Tianjun; Jang, Jaehyuk; Xiong, Shuping, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v.27, no.5, pp.2197 - 2207, 2023-05 |
11 | Development and validation of a dynamic time warping based algorithm to evaluate motion similarity for home-based fall interventions in older people Yu, Xiaoqun; Xiong, Shuping, 10th International Conference on Applied Human Factors and Ergonomics, AHFE, 2019-07-27 |
12 | Machine Learning-based Pre-impact Fall Detection and Injury Prevention for the Elderly with Wearable Inertial Sensors Yu, Xiaoqun; Jang, Jake; Xiong, Shuping, 12th International Conference on Applied Human Factors and Ergonomics (AHFE 2021), v.273, pp.278 - 285, AHFE, 2021-07-26 |
13 | Robust pre-impact fall detection algorithms and practical application in wearable airbag systems for injury prevention in older people = 고령자의 상해 예방을 위한 낙상 전감지 알고리즘 개발과 웨어러블 에어백 시스템 응용link Yu, Xiaoqun; Xiong, Shuping; et al, 한국과학기술원, 2023 |
14 | TinyFallNet: A Lightweight Pre-Impact Fall Detection Model Koo, Bummo; Yu, Xiaoqun; Lee, Seunghee; Yang, Sumin; Kim, Dongkwon; Xiong, Shuping; Kim, Youngho, SENSORS, v.23, no.20, 2023-10 |
15 | Trunk range of motion: A wearable sensor-based test protocol and indicator of fall risk in older people Yu, Xiaoqun; Park, Seonghyeok; Xiong, Shuping, APPLIED ERGONOMICS, v.108, 2023-04 |