Simulating Human Lifting Motions Using Fuzzy-Logic Control. - Xingda Qu; Maury A. Nussbaum (IEEE Trans. Syst. Man Cybern. Part A, 2009)

Subject tailored gait pattern planning for robotic gait rehabilitation. - Trieu Phat Luu; Hup Boon Lim; Xingda Qu; K. H. Low (ROBIO, 2010)

Study of body weight shifting on robotic assisted gait rehabilitation with NaTUre-gaits. - Hup Boon Lim; Trieu Phat Luu; Kay Hiang Hoon; Xingda Qu; Adela Tow; K. H. Low (IROS, 2011)

Subject-specific gait parameters prediction for robotic gait rehabilitation via generalized regression neural network. - Trieu Phat Luu; Hup Boon Lim; Kay Hiang Hoon; Xingda Qu; K. H. Low (ROBIO, 2011)

Affect prediction from physiological measures via visual stimuli. - Feng Zhou 003; Xingda Qu; Martin G. Helander; Roger Jianxin Jiao (Int. J. Hum. Comput. Stud., 2011)

Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors. - Feng Zhou 003; Xingda Qu; Roger Jianxin Jiao; Martin G. Helander (Interact. Comput., 2014)

Benefits of Imperfect Conflict Resolution Advisory Aids for Future Air Traffic Control. - Fitri Trapsilawati; Christopher D. Wickens; Xingda Qu; Chun-Hsien Chen (Hum. Factors, 2016)

Combined Effects of Lower Limb Muscle Fatigue and Decision Making to the Knee Joint During Cutting Maneuvers Based on Two Different Position-Sense-Acuity Groups. - Xingda Qu; Xingyu Chen (AHFE (19), 2017)

Effects of Key Size, Gap and the Location of Key Characters on the Usability of Touchscreen Devices in Input Tasks. - Da Tao; Qiugu Chen; Juan Yuan; Shuang Liu; Xiaoyan Zhang 006; Xingda Qu (HCI (6), 2017)

Can Fixation Frequency Be Used to Assess Pilots' Mental Workload During Taxiing? - Xiaoyan Zhang 006; Hongjun Xue; Xingda Qu; Tao Li (HCI (5), 2017)

Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials. - Da Tao; Tieyan Wang; Tieshan Wang; Shuang Liu; Xingda Qu (J. Am. Medical Informatics Assoc., 2017)

Presentation of Personal Health Information for Consumers: An Experimental Comparison of Four Visualization Formats. - Da Tao; Juan Yuan; Xingda Qu; Tieyan Wang; Xingyu Chen (HCI (6), 2018)

Automatic Activity Classification Based on Human Body Kinematics and Dynamic Time Wrapping. - Xinyao Hu; Shaorong Mo; Dongsheng Peng; Fei Shen; Chuang Luo; Xingda Qu (DSP, 2018)

A Portable Insole for Foot Plantar Pressure Measurement Based on A Pressure Sensitive Etextile and Voltage Feedback Method. - Xinyao Hu; Fei Shen; Dongsheng Peng; Chuang Luo; Shaorong Mo; Xingda Qu (DSP, 2018)

Evaluation of Three In-Vehicle Interactions from Drivers' Driving Performance and Eye Movement behavior. - Guofa Li; Fangping Zhu; Tingru Zhang; Ying Wang; Shengfan He; Xingda Qu (ITSC, 2018)

Presenting self-monitoring test results for consumers: the effects of graphical formats and age. - Da Tao; Juan Yuan; Xingda Qu (J. Am. Medical Informatics Assoc., 2018)

Estimation of Foot Plantar Center of Pressure Trajectories with Low-Cost Instrumented Insoles Using an Individual-Specific Nonlinear Model. - Xinyao Hu; Jun Zhao; Dongsheng Peng; Zhenglong Sun 001; Xingda Qu (Sensors, 2018)

An Ankle Based Soft Active Orthotic Device Powered by Pneumatic Artificial Muscle. - Xinyao Hu; Chuang Luo; Hao Li; Liyao Jia; Chaoyang Song 001; Zheng Wang 002; Xingda Qu (RCAR, 2019)

Driving Style Classification Based on Driving Operational Pictures. - Guofa Li; Fangping Zhu; Xingda Qu; Bo Cheng 003; Shen Li 001; Paul Green (IEEE Access, 2019)

Applying Machine Learning to Identify Autism With Restricted Kinematic Features. - Zhong Zhao; Xiaobin Zhang; Wenzhou Li; Xinyao Hu; Xingda Qu; Xiaolan Cao; Yanru Liu; Jianping Lu (IEEE Access, 2019)

Age-Related Differences in the Relationships Between Lower-Limb Joint Proprioception and Postural Balance. - Xingyu Chen; Xingda Qu (Hum. Factors, 2019)

Touchscreen Operations in Vibration Conditions: Task Precision Requirement Matters. - Da Tao; Jihong Zeng; Dongming Shen; Xingda Qu; Tingru Zhang (EBEE, 2020)

Detection of Road Objects With Small Appearance in Images for Autonomous Driving in Various Traffic Situations Using a Deep Learning Based Approach. - Guofa Li; Heng Xie; Weiquan Yan; Yunlong Chang; Xingda Qu (IEEE Access, 2020)

A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. - Da Tao; Tieyan Wang; Tieshan Wang; Tingru Zhang; Xiaoyan Zhang 006; Xingda Qu (Comput. Hum. Behav., 2020)

Effects of Fatigue on Balance Recovery From Unexpected Trips. - Xingda Qu; Yongxun Xie; Xinyao Hu; Hongbo Zhang (Hum. Factors, 2020)

Integrating usability and social cognitive theories with the technology acceptance model to understand young users' acceptance of a health information portal. - Da Tao; Fenglian Shao; Hailiang Wang; Mian Yan; Xingda Qu (Health Informatics J., 2020)

Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF. - Hailiang Wang; Da Tao; Na Yu; Xingda Qu (Int. J. Medical Informatics, 2020)

Deep Learning Approaches on Pedestrian Detection in Hazy Weather. - Guofa Li; Yifan Yang; Xingda Qu (IEEE Trans. Ind. Electron., 2020)

An infrared and visible image fusion method based on multi-scale transformation and norm optimization. - Guofa Li; Yongjie Lin; Xingda Qu (Inf. Fusion, 2021)

A deep learning based image enhancement approach for autonomous driving at night. - Guofa Li; Yifan Yang; Xingda Qu; Dongpu Cao; Keqiang Li (Knowl. Based Syst., 2021)

An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous Driving. - Guofa Li; Yingjie Zhang; Delin Ouyang; Xingda Qu (ECCV Workshops (1), 2022)

Key characteristics in designing massive open online courses (MOOCs) for user acceptance: an application of the extended technology acceptance model. - Da Tao; Pei Fu; Yunhui Wang; Tingru Zhang; Xingda Qu (Interact. Learn. Environ., 2022)

Human-Like Decision Making of Artificial Drivers in Intelligent Transportation Systems: An End-to-End Driving Behavior Prediction Approach. - Guofa Li; Liang Yang; Shen Li 001; Xiao Luo; Xingda Qu; Paul Green (IEEE Intell. Transp. Syst. Mag., 2022)

A Temporal-Spatial Deep Learning Approach for Driver Distraction Detection Based on EEG Signals. - Guofa Li; Weiquan Yan; Shen Li 001; Xingda Qu; Wenbo Chu; Dongpu Cao (IEEE Trans Autom. Sci. Eng., 2022)

Stepwise Domain Adaptation (SDA) for Object Detection in Autonomous Vehicles Using an Adaptive CenterNet. - Guofa Li; Zefeng Ji; Xingda Qu (IEEE Trans. Intell. Transp. Syst., 2022)

Cross-Domain Object Detection for Autonomous Driving: A Stepwise Domain Adaptative YOLO Approach. - Guofa Li; Zefeng Ji; Xingda Qu; Rui Zhou; Dongpu Cao (IEEE Trans. Intell. Veh., 2022)

Development of a low-cost and user-friendly system to create personalized human digital twin. - Haopeng Ou; Peng Yue; Qingsong Duan; Shiwei Mo; Zhong Zhao; Xingda Qu; Xinyao Hu (EMBC, 2023)

Design and Development of Wearable Upper Limb Soft Robotics for Load Lifting Task Assistance. - Sibo Cheng; Huaiyu Na; Kaifeng Zheng; Haopeng Ou; Ning Jia; Xingda Qu; Xinyao Hu (ICIRA (2), 2023)

Effect of Music Intervention Strategies on Mitigating Drivers' Negative Emotion in Post-congestion Driving. - Delin Ouyang; Guofa Li; Qingkun Li; Xiaoxuan Sui; Xingda Qu; Gang Guo (IV, 2023)

Driver Behavioral Cloning for Route Following in Autonomous Vehicles Using Task Knowledge Distillation. - Guofa Li; Zefeng Ji; Shen Li 001; Xiao Luo; Xingda Qu (IEEE Trans. Intell. Veh., 2023)

SOSMaskFuse: An Infrared and Visible Image Fusion Architecture Based on Salient Object Segmentation Mask. - Guofa Li; Xuanhu Qian; Xingda Qu (IEEE Trans. Intell. Transp. Syst., 2023)

EEG-based assessment of driver trust in automated vehicles. - Tingru Zhang; Jinfeng Yang; Milei Chen; Zetao Li; Jing Zang; Xingda Qu (Expert Syst. Appl., 2024)

Ergonomic assessment of mid-air interaction and device-assisted interactions under vibration environments based on task performance, muscle activity and user perceptions. - Da Tao; Waner Luo; Yuzhuo Wu; Kunhua Yang; Hailiang Wang; Xingda Qu (Int. J. Hum. Comput. Stud., 2024)

A RGB-Thermal Image Segmentation Method Based on Parameter Sharing and Attention Fusion for Safe Autonomous Driving. - Guofa Li; Yongjie Lin; Delin Ouyang; Shen Li 001; Xiao Luo; Xingda Qu; Dawei Pi; Shengbo Eben Li (IEEE Trans. Intell. Transp. Syst., 2024)

A hybrid CNN-LSTM model for involuntary fall detection using wrist-worn sensors. - Xinyao Hu; Shiling Yu; Jihan Zheng; Zhimeng Fang; Zhong Zhao; Xingda Qu (Adv. Eng. Informatics, 2025)