近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1. Yu X , Wang C , Hou M, Rong Y*, Kim W*, 2025. Application of single
camera-based gait analysis for accessible fall risk assessment among
community-dwelling older people. (一审中）
2. Cai Y , Zhou Y , Yan J , Yu X* , Kim W*, 2025. User experience in AI
text-to-image Generation: exploring usability challenges, image quality
perceptions, and prompting across different user groups. (一审中）
3. Kim D , Yu X , and Xiong S* , 2025. A practical and robust skeleton-based
AI algorithm for multi-person fall detection on construction sites considering
occlusions. Automation in Construction , 175, 106216 (SCI, JCR: Q1, IF: 10.4,
中科院一区Top期刊 )
4. Yu X , Cai Y , Yang R, Ma F*, Kim W*, 2025. Revisiting sensor-based
intelligent fall risk assessment for older people: a systematic review.
Engineering Applications of Artificial Intelligence , 144, 110176 ( SCI, JCR:
Q1,IF: 7.5, 中科院一区 Top 期刊 )
5. Yu X , Wang C , Wu W, and Xiong S*, 2025. A Real-time Skeleton-based Fall
Detection Algorithm based on Temporal Convolutional Networks and Transformer
Encoder. Pervasive and Mobile Computing , 107, 102016 (SCI, JCR: Q2, IF: 3.0)
6. Yu X , Wan J, An G, Yin X, Xiong S*, 2024. A Novel Semi-supervised Model
for Pre-impact Fall Detection with Limited Fall Data. Engineering Applications
of Artificial Intelligence , 132, 108469 ( SCI, JCR: Q1,IF: 7.5, 中科院一区 Top 期刊)
7. Koo, B., Yu, X. , Lee, S., Yang, S., Kim, D., Xiong, S., & Kim, Y. (2023).
TinyFallNet: A Lightweight Pre-Impact Fall Detection Model. Sensors , 23(20),
8459 (SCI, JCR: Q2, IF: 3.847)).
8. Yu X , Park S, Kim D, Kim E, Kim J, KimW, An Y, Xiong S*, 2023. A Practical
Wearable Fall Detection System based on Tiny Convolutional Neural Networks.
Biomedical Signal Processing and Control , 86, 105325 (SCI, JCR: Q2, IF=5.1).
9. Kim, T., Yu, X., & Xiong, S.* (2023). Amultifactorial fall risk assessment
system for older people utilizing alow-cost, markerless Microsoft Kinect.
Ergonomics (SCI, JCR: Q3, IF:2.561).
10. Yu, X., Park, S., & Xiong, S.*(2023). Trunk Range of Motion: A Wearable
Sensor-based Test Protocol andIndicator of Fall Risk in Older People. Applied
Ergonomics , 108, 103963 (SCI,JCR: Q2, IF: 3.940).
11. Yu, X., Ma, T., Jang, J., & Xiong,S.* (2022). Data augmentation to address
various rotation errors of wearablesensors for robust pre-impact fall detection.
IEEE Journal of Biomedical and Health Informatics (SCI, JCR: Q1,IF: 7.021, 中科院
Top 期刊 ).
12. Yu, X., Koo, B., Jang, J., Kim, Y.,& Xiong, S.* (2022). A comprehensive
comparison of accuracy andpracticality of different types of algorithms for
pre-impact fall detectionusing both young and old adults. Measurement ,111785
(SCI, JCR: Q1, IF: 5.131).
13. Yu, X., Jang, J., & Xiong, S.*(2021). A large-scale open motion dataset
(KFall) and benchmark algorithms fordetecting pre-impact fall of the elderly
using wearable inertial sensors. Frontiers in Aging Neuroscience , 399 (SCI,JCR:
Q1, IF: 5.702).
14. Yu, X., Qiu, H., & Xiong, S.* (2020).A novel hybrid deep neural network to
predict pre-impact fall for older peoplebased on wearable inertial sensors.
Frontiersin bioengineering and biotechnology , 8, 63 (SCI, JCR: Q1, IF: 6.064).
15. Yu, X., & Xiong, S.* (2019). Adynamic time warping based algorithm to
evaluate Kinect-enabled home-basedphysical rehabilitation exercises for older
people. Sensors , 19(13), 2882 (SCI, JCR: Q2, IF: 3.847).
16. Qiu, H., Rehman,R. Z. U., Yu, X., & Xiong, S.*(2018). Application of
wearable inertial sensors and a new test battery fordistinguishing retrospective
fallers from non-fallers among community-dwellingolder people. Scientific
reports ,8(1), 1-10 (SCI, JCR: Q2, IF: 4.996).
17. Yu X , Jang J, Xiong S*,2021. Machine Learning-based Pre-impact Fall
Detection and Injury Preventionfor the Elderly with Wearable Inertial Sensors.
AHFE2021 . July 25-29, 2021. New York, USA. (Full Paper, 最佳学生论文奖 )
18. Yu X * , Niu Y, Zhou X, Wu W, Xue C, Xiong S, 2024. A skeleton-based
real-time fall detection system for older people using a single RGB camera and
edge computing. 22nd Triennial Congress of the International Ergonomics
Association (IEA) , August 25-29, 2024. Jeju, South Korea. (Oral Presentation)
19. Yuqing Cai , Yihan Zhou , Xiaoqun Yu *, Woojoo Kim*. 2025. Identifying
Usability Challenges in Text-to-Image AI: A Comprehensive Comparison among
Mainstream Platforms. HCI International (June 22-27, 2025), Gothenburg, Sweden.
(Full Paper)
20. Chenfeng Wang , Mengxin Zhang , Yuqing Cai, Zhiyuan Yang , Woojoo Kim* ,
Xiaoqun Yu *. 2025. A Novel Fall Risk Assessment Approach Using Gait Parameters
from a Single RGB Camera: A Preliminary Study. HCI International (June 22-27,
2025), Gothenburg, Sweden. (Full Paper)
京公网安备 11010802027423号