Real-Time Human Motion Capture Driven by a Wireless Sensor Network. - Peng-zhan Chen; Jie Li 009; Man Luo; Nian-hua Zhu (Int. J. Comput. Games Technol., 2015)

Human Motion Capture Algorithm Based on Inertial Sensors. - Peng-zhan Chen; Ye Kuang; Jie Li 009 (J. Sensors, 2016)

Inertial Sensor-Based Analysis of Equestrian Sports Between Beginner and Professional Riders Under Different Horse Gaits. - Zhelong Wang; Jie Li 009; Jiaxin Wang 003; Hongyu Zhao 001; Sen Qiu; Ning Yang 004; Xin Shi (IEEE Trans. Instrum. Meas., 2018)

Using Distributed Wearable Inertial Sensors to Measure and Evaluate the Motions of Children with Cerebral Palsy in Hippotherapy. - Sen Qiu; Jie Li 009; Zhelong Wang; Hongyu Zhao 001; Bing Liang; Jiaxin Wang 003; Ning Yang 004; Xin Shi; Ruichen Liu; Jinxiao Li; Xiaoyang Li (BODYNETS, 2019)

Swimming Motion Analysis and Posture Recognition Based on Wearable Inertial Sensors. - Zhelong Wang; Xin Shi; Jiaxin Wang 003; Fengshan Gao; Jie Li 009; Ming Guo; Hongyu Zhao 001; Sen Qiu (SMC, 2019)

Using Wearable Sensors to Capture Posture of the Human Lumbar Spine in Competitive Swimming. - Zhelong Wang; Jiaxin Wang 003; Hongyu Zhao 001; Sen Qiu; Jie Li 009; Fengshan Gao; Xin Shi (IEEE Trans. Hum. Mach. Syst., 2019)

An Incremental Learning Framework to Enhance Teaching by Demonstration Based on Multimodal Sensor Fusion. - Jie Li 009; Junpei Zhong; Jingfeng Yang; Chenguang Yang 001 (Frontiers Neurorobotics, 2020)

Canoeing Motion Tracking and Analysis via Multi-Sensors Fusion. - Long Liu; Sen Qiu; Zhelong Wang; Jie Li 009; Jiaxin Wang 003 (Sensors, 2020)

Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gaits. - Sen Qiu; Huihui Wang; Jie Li 009; Hongyu Zhao 001; Zhelong Wang; Jiaxin Wang 003; Qiong Wang; Dirk Plettemeier; Michael Bärhold; Tony Bauer; Bo Ru (Sensors, 2020)

Using Body Sensor Network to Measure the Effect of Rehabilitation Therapy on Improvement of Lower Limb Motor Function in Children With Spastic Diplegia. - Jie Li 009; Zhelong Wang; Sen Qiu; Hongyu Zhao 001; Qiong Wang; Dirk Plettemeier; Bing Liang; Xin Shi (IEEE Trans. Instrum. Meas., 2020)

Swimming Stroke Phase Segmentation Based on Wearable Motion Capture Technique. - Jiaxin Wang 003; Zhelong Wang; Fengshan Gao; Hongyu Zhao 001; Sen Qiu; Jie Li 009 (IEEE Trans. Instrum. Meas., 2020)

Generation of Head Mirror Behavior and Facial Expression for Humanoid Robots. - Yizhou Chen; Xiaofeng Liu 006; Jie Li 009; Tingting Zhang; Angelo Cangelosi (Adv. Artif. Intell. Mach. Learn., 2021)

Multi-body sensor data fusion to evaluate the hippotherapy for motor ability improvement in children with cerebral palsy. - Jie Li 009; Zhelong Wang; Sen Qiu; Hongyu Zhao 001; Jiaxin Wang 003; Xin Shi; Bing Liang; Giancarlo Fortino (Inf. Fusion, 2021)

Motion Analysis of Deadlift for Trainers With Different Levels Based on Body Sensor Network. - Zhelong Wang; Ruichen Liu; Hongyu Zhao 001; Sen Qiu; Xin Shi; Jiaxin Wang 003; Jie Li 009 (IEEE Trans. Instrum. Meas., 2021)

Real-Time Human Motion Capture Based on Wearable Inertial Sensor Networks. - Jie Li 009; Xiaofeng Liu 006; Zhelong Wang; Hongyu Zhao 001; Tingting Zhang; Sen Qiu; Xu Zhou 002; Huili Cai; Rongrong Ni; Angelo Cangelosi (IEEE Internet Things J., 2022)

Continual learning-based trajectory prediction with memory augmented networks. - Biao Yang; Fucheng Fan; Rongrong Ni; Jie Li 009; Chu Kiong Loo; Xiaofeng Liu 006 (Knowl. Based Syst., 2022)

An incremental cross-modal transfer learning method for gesture interaction. - Junpei Zhong; Jie Li 009; Ahmad Lotfi; Peidong Liang; Chenguang Yang 001 (Robotics Auton. Syst., 2022)

Study on Horse-Rider Interaction Based on Body Sensor Network in Competitive Equitation. - Jie Li 009; Zhelong Wang; Sen Qiu; Hongyu Zhao 001; Jiaxin Wang 003; Xin Shi; Long Liu; Ning Yang 004 (IEEE Trans. Affect. Comput., 2022)

Sensor Combination Selection for Human Gait Phase Segmentation Based on Lower Limb Motion Capture With Body Sensor Network. - Jie Li 009; Xiaofeng Liu 006; Zhelong Wang; Xu Zhou 002; Ziyang Wang (IEEE Trans. Instrum. Meas., 2022)

Design and Implementation of a Multimodal Combination Framework for Robotic Grasping. - Congyu Huang; Ziyang Wang; Haoran Zhu; Jie Li 009; Xiaofeng Liu 006 (ICR, 2023)

Contrastive Learning-Based Time Series Classification in Healthcare. - Zhihong Liu; Xiaofeng Liu 006; Xiang Zhang 012; Jie Li 009 (ISAIMS, 2023)

Human-to-Robot Handovers via Real-time Video Segmentation. - Haoran Zhu; Xu Zhou 002; Xiaofeng Liu 006; Congyu Huang; Jie Li 009 (CIS-RAM, 2023)

Demonstration Learning and Generalization of Robotic Motor Skills Based on Wearable Motion Tracking Sensors. - Xiaofeng Liu 006; Ziyang Wang; Jie Li 009; Angelo Cangelosi; Chenguang Yang 001 (IEEE Trans. Instrum. Meas., 2023)

Real-Time Robotic Mirrored Behavior of Facial Expressions and Head Motions Based on Lightweight Networks. - Xiaofeng Liu 006; Yizhou Chen; Jie Li 009; Angelo Cangelosi (IEEE Internet Things J., 2023)

Missing data reconstruction in attitude for quadrotor unmanned aerial vehicle based on deep regression model with different sensor failures. - Jie Li 009; Ziyang Wang; Zhelong Wang; Huan Wang 012; Xu Zhou 002; Yiming Deng; Chenguang Yang 001; Xiaofeng Liu 006 (Inf. Fusion, 2023)

Efficient lower layers parameter decoupling personalized federated learning method of facial expression recognition for home care robots. - Xu Zhou 002; Jie Li 009; Gongjin Lan; Rongrong Ni; Angelo Cangelosi; Jiaxin Wang 003; Xiaofeng Liu 006 (Inf. Fusion, 2024)

Learning-Based Stance Phase Detection and Multisensor Data Fusion for ZUPT-Aided Pedestrian Dead Reckoning System. - Jie Li 009; Xu Zhou 002; Sen Qiu; Yi Mao; Ziyang Wang; Chu Kiong Loo; Xiaofeng Liu 006 (IEEE Internet Things J., 2024)

Research on Motion Capture and Phase Segmentation Based on Wireless Body Sensor Networks in Competitive Equestrian. - Jie Li 009; Zhelong Wang; Xu Zhou 002; Xiaofeng Liu 006 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Two-Stage Grasp Detection Method for Robotics Using Point Clouds and Deep Hierarchical Feature Learning Network. - Xiaofeng Liu 006; Congyu Huang; Jie Li 009; Weiwei Wan; Chenguang Yang 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Analysis of the Motion Postures in Equestrian Sports Based on Multi-Sensor Data Fusion. - Yi Yang 024; Yaoyao Yu; Xinyue Chen; Jie Li 009 (Int. J. Pattern Recognit. Artif. Intell., 2024)

A Survey of Wearable Lower Extremity Neurorehabilitation Exoskeleton: Sensing, Gait Dynamics, and Human-Robot Collaboration. - Jie Li 009; Xiao Gu 003; Sen Qiu; Xu Zhou 002; Angelo Cangelosi; Chu Kiong Loo; Xiaofeng Liu 006 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Hierarchical Multimodal Decoupling-Fusion Framework for offline Multiple Appropriate Facial Reaction Generation. - Qincheng Lv; Xiaofeng Liu 006; Jie Li 009; Rongrong Ni; Pujun Xue; Siyang Song (ICASSP, 2025)

Smart Swimming Training: Wearable Body Sensor Networks Empower Technical Evaluation of Competitive Swimming. - Jie Li 009; Jiaxin Wang 003; Sen Qiu; Xiaofeng Liu 006; Jianqing Li 002; Wentao Xiang; Bin Liu 052; Songsheng Zhu; Chu Kiong Loo; Angelo Cangelosi; Giancarlo Fortino (IEEE Internet Things J., 2025)

Semi-Supervised Contrastive Learning for Time Series Classification in Healthcare. - Xiaofeng Liu 006; Zhihong Liu; Jie Li 009; Xiang Zhang 012 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Research on Enhanced Gait Phase Segmentation Based on Multimodal Spatiotemporal Information Fusion. - Hao Zhang; Xiaofeng Liu 006; Jie Li 009; Jia Pan 001; Chu Kiong Loo; Angelo Cangelosi (IEEE Internet Things J., 2025)

Multimodal Emotion Fusion Mechanism and Empathetic Responses in Companion Robots. - Xiaofeng Liu 006; Qincheng Lv; Jie Li 009; Siyang Song; Angelo Cangelosi (IEEE Trans. Cogn. Dev. Syst., 2025)