教师名录
余潇群,男,1993年生,集团银河公司工业设计系讲师。研究领域为人机交互(基于IMU和CV的人体姿态/运动评估),健康大数据(基于可穿戴传感的老年人跌倒风险评估、防护与预防),人工智能物联网(TinyML/边缘计算)。发表SCI/SSCI/EI论文10余篇(多发表于Applied Ergo, Ergo, IEEE JBHI, Measurement, BSPC等人机交互和健康信息学知名刊物),获得国家留学基金委奖学金,第12届人因应用及其附属国际会议(AHFE2021)最佳员工论文奖。
欢迎对上述领域感兴趣的本科生、硕士生加入课题组!
2023年8月至今,银河galaxy娱乐游戏中心(中国)集团有限公司工业设计系讲师
产品设计方法学
用户界面设计
International Journal of Industrial Ergonomics
The International Journal of Automotive Technology
Scientific Reports
国家留学基金委(CSC)奖学金
第12届人因应用及其附属国际会议(AHFE2021):最佳员工论文奖
1. 期刊论文
(10) 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)).
(9) 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).
(8) 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).
(7) 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).
(6) 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1区,Top期刊).
(5) 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).
(4) 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).
(3) 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).
(2) 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).
(1) 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).
2. 会议论文
(1) 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. (最佳员工论文奖)