Исследовательские работы
С использованием NOKOV Motion Capture

Gupta A, Semwal V B. Adaptive neural & fuzzy controller for exoskeleton gait pattern control based on musculoskeletal modeling[J]. Multimedia Tools and Applications, 2024, 83(16): 49419-49439.

Xu M, Zhou Z, Shao J, et al. Design of a dynamic waist strap for reducing migration of knee exoskeletons[C]//International Conference on Intelligent Robotics and Applications. Cham: Springer International Publishing, 2021: 687-697.

Singh G, Chaudhary H, Singh R. Determination of Knee and Ankle Trajectories and Synthesis of Four-Bar Linkage for Rehabilitation[C]//International and National Conference on Machines and Mechanism. Singapore: Springer Nature Singapore, 2023: 61-70.

Mo S, Chu A S Y, Shao S, et al. Footstrike evaluation in male runners: A comparison of lateral and medial video views against traditional motion capture[J]. Journal of Biomechanics, 2025: 112865.

Gao C, Zhang J, Li H. Human Lower Limb Motor Ability Estimation Based on Human-Machine Coupling Interactive Contact Model[C]//International Conference on Intelligent Robotics and Applications. Singapore: Springer Nature Singapore, 2025: 275-286.

Wang Y, Wang A, Yue X, et al. Humanoid adaptive sliding mode control based on gait data[C]//2025 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2025: 884-889.

Ma Z, Fu S, Wu X, et al. Impact of spinal-hip types on gait patterns in patients with end-stage hip disease[J]. Journal of Orthopaedic Surgery and Research, 2025, 20(1): 387.

Sun J, Dai L, Yin Q, et al. Motion Analysis and Design on Pneumatic Actuators for Knee Assistive Devices[C]//2025 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2025: 1216-1221.

Lu Y, Huang Y, Jin W, et al. Personalized musculoskeletal model based multi-muscle force analysis for amputees with transtibial prostheses[J]. Journal of Biomechanics, 2025: 112913.

Li J, Wang K, Wang Y, et al. Reconfiguration planning and structure parameter design of a reconfigurable cable-driven lower limb rehabilitation robot[J]. Medical & Biological Engineering & Computing, 2025: 1-17.

Yu C, Wang Y, Dai Z, et al. Synthesis and Application of Reduced-Dimension Optimization for Rigid-Body Guidance of Stephenson-III Six-Bar Linkages on the Basis of Fourier Harmonic Characteristics[J]. Journal of Mechanisms and Robotics, 2026, 18(1): 011006.

Xu T, Sun Z, Li S, et al. Adjustable-Stiffness Hip Exoskeleton with Flexible Energy-Storage Module for 3D Gait Correction[J]. Machines, 2025, 13(10): 959.

Wang C, Cheng B, Tang Q, et al. Design and Validation of a Brain-Controlled Hip Exoskeleton for Assisted Gait Rehabilitation Training[J]. Micromachines, 2025, 16(12): 1364.

Cho K, Lee K W, Hur P. Optimizing toe joint stiffness to improve human-like walking[J]. Scientific Reports, 2025, 15(1): 33268.

Hu S, Ma X, Chen X, et al. Leg Mechanism Design and Motion Performance Analysis for an Amphibious Crab-like Robot[J]. Journal of Marine Science and Engineering, 2023, 12(1): 10.

Fan B, Zhang L, Wang Z, et al. A Multi-IMU System for Assessing Human Walking Dynamics Balance Using the Compass Gait Model[J]. IEEE Journal of Biomedical and Health Informatics, 2025.

Liao Y, Cao J, Yu L, et al. A Multi-sensor Gait Dataset Collected Under Non-standardized Dual-Task Conditions[J]. Scientific data, 2025, 12(1): 1121.

Zhang K, Li X, Chen X, et al. Complete Gait Phases Recognition Based on Muscle Synergy Using PSO-CNN-LSTM Algorithm[J]. IEEE Sensors Journal, 2025.

Guo J, Tang H, Li X, et al. Kinematic–kinetic compliant acetabular cup positioning based on preoperative motion tracking and musculoskeletal modeling for total hip arthroplasty[J]. Journal of Biomechanics, 2024, 176: 112332.

Wang T, Jiang D, Lu Y, et al. A dual‐mode, scalable, machine‐learning‐enhanced wearable sensing system for synergetic muscular activity monitoring[J]. Advanced Materials Technologies, 2025, 10(3): 2400857.

Wang X, Guo J, Tian Q. A forward-inverse dynamics modeling framework for human musculoskeletal multibody system[J]. Acta Mechanica Sinica, 2022, 38(11): 522140.

Xiao T, Tang B, Pang M, et al. Simulation of Human Upright Standing Push-Recovery Based on OpenSim[C]//International Conference on Intelligent Robotics and Applications. Cham: Springer International Publishing, 2020: 308-319.

Zhao K, Teng Z, Gong N, et al. Clustering of Human Motion Trajectory for Lower Limb Rehabilitation Robot Design Based on Machine Learning[C]//ASME International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019, 59407: V003T04A068.

Zhang H, Bingham G P, Pan J S. Perceiving visual events uses optical information that reflects dynamics rather than resembles appearance[J]. British Journal of Psychology, 2025, 116(1): 250-268.

Wang X, Lin W, Zhao J, et al. Design of Wearable KOA Postoperative Rehabilitation Training Equipment[C]//ICMD: International Conference on Mechanical Design. Singapore: Springer Nature Singapore, 2023: 469-483.

Wang N, Wang Z, Li Z, et al. Design and Control of a Portable Soft Exosuit by Musculoskeletal Model-Based Optimization[C]//International Conference on Intelligent Robotics and Applications. Singapore: Springer Nature Singapore, 2023: 386-397.

Sun Z, Wang N, Zhang J, et al. Design and Control of a Soft Hip Exoskeleton for Assisting Human Locomotion[C]//International Conference on Intelligent Robotics and Applications. Singapore: Springer Nature Singapore, 2023: 374-385.

Sun Z, Xu C, Wang G, et al. Noise-tolerant zeroing neural network control for a novel compliant actuator in lower-limb exoskeletons[J]. Neural Computing and Applications, 2024, 36(22): 13647-13663.

Li J, Wang K, Wang Y, et al. Motion planning for a cable-driven lower limb rehabilitation robot with movable distal anchor points[J]. Journal of Bionic Engineering, 2023, 20(4): 1585-1596.

Liu S, Li Q, Sun H, et al. Investigation of pre-crash avoidance kinematics in pedestrians of different ages through volunteer experiment and scaling methodology[J]. Traffic Injury Prevention, 2025, 26(3): 281-290.

Li Y Y, Gan J. Effect of wearable chair on gait, balance, and discomfort of new users during level walking with anterior loads[J]. Journal of safety research, 2023, 87: 27-37.

Li F, Yang M, Chen Z, et al. A Closed-loop Control for Lower Limb Exoskeleton Considering Overall Deformations: A Simple and Direct Application Method[C]//2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024: 13626-13633.

Yang M, Tian D, Li F, et al. A Knowledge Transfer-based Personalized Human–Robot Interaction Control Method for Lower Limb Exoskeletons[J]. IEEE Sensors Journal, 2024.

Sun L. Control design of lower limb rehabilitation robot based on gait data[C]//2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2024, 7: 486-491.

Lu Y, Huang Y, Yang R, et al. A Human-Prosthesis Coupled Musculoskeletal Model for Transtibial Amputees[J]. IEEE Transactions on Biomedical Engineering, 2025.

Gao S, Wang A, Duan H, et al. Humanoid Control Technology for Lower Limb Rehabilitation Robots Based on Human Gait Data[C]//2024 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2024: 171-176.

Chen W, Ma Y, Ren L, et al. A lightweight powered knee prosthesis replicating early-stance knee flexion during level walking[J]. IEEE Robotics and Automation Letters, 2024, 9(11): 9693-9700.

Tong L, Li Y, Wang C, et al. Quantitative Assessment of Lower-limb Motor Function Based on Multimodal Gait Data for Hip Osteoarthritis[C]//2024 IEEE International Conference on Advanced Information, Mechanical Engineering, Robotics and Automation (AIMERA). IEEE, 2024: 224-229.

Zhang X, Wang A, Gao S, et al. Human-machine Integration of Lower Limb Rehabilitation Robot[C]//2024 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2024: 177-180.

Xin X, Wang A, Liao W, et al. Individualized Continuous Gait Generation for Rehabilitation Robots Based on LSTM[C]//2022 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2022: 1-4.

Duan H, Wang A, Xin X. Individual Gait Generation for Rehabilitation Robots Based on GLS network[C]//2023 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2023: 1-4.

Wang L, Pang M, Xiang K, et al. Evaluation of Muscle Activation Reaction on Vertical Climbing[C]//2023 9th International Conference on Electrical Engineering, Control and Robotics (EECR). IEEE, 2023: 42-45.

Zhang L, Fan B, Zhang K, et al. Design and Validation of an Inertial Motion Capture System for Human Dynamic Balance Assessment[C]//2024 World Rehabilitation Robot Convention (WRRC). IEEE, 2024: 1-4.

Ren J, Wang A, Meng L, et al. Personalized Gait Generation Using Convolutional Neural Network for Lower Limb Rehabilitation Robots[C]//2024 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2024: 617-622.

Duan H, Wang A, Gao S, et al. Analysis of Motion Intention Prediction Based on Human Gait Data[C]//2024 China Automation Congress (CAC). IEEE, 2024: 4949-4953.

Liu K, Xiang K, Tang B, et al. Evaluation of Muscle Activation Reaction on Fore-Aft Dynamic Interference During Load-Carrying Level Walking[C]//International Conference on Intelligent Robotics and Applications. Cham: Springer International Publishing, 2022: 626-636.

Xu Y, Luo Z, Shang J, et al. Design and analysis of a concentrated-driven bionic-leg capable of omnidirectional legged locomotion based on 3-Dimensional dual-parallelogram-linkages[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2024, 238(2): 459-478.

Deenadayalan E. Enhanced Gait Prediction Using RNN-LSTM: A Synergistic Approach with Motion Capture and OpenSim[C]//2025 International Conference on Power, Instrumentation, Control, and Computing (PICC). IEEE, 2025: 1-6.

Song C, Chen C, Lv Y, et al. Attention-inspired path prediction and adaptive obstacle perception architecture for powered lower-limb prostheses[J]. IEEE Sensors Journal, 2025.

Ren J, Wang A, Ma Z, et al. Gait prediction for rehabilitation robots based on deep learning[C]//2022 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2022: 86-90.

Cha M, Hur P. Estimation of Gait Phase of Human Stair Descent Walking Based on Phase Variable Approach[J]. IEEE Robotics and Automation Letters, 2025.

Z. Tang, X. Deng, Y. Wen, X. Han, J. Wu and Z. Yu, "Cross-Activity sEMG-Driven Joint Angle Estimation via Hybrid Attention Fusion: Bridging Traditional Features and Deep Spatial Representations," 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025, pp. 14611-14616, doi: 10.1109/IROS60139.2025.11247465.

Ma T, Fan T, Xu X, et al. Design of a Portable Biofeedback System for Monitoring Femoral Load During Partial Weight-Bearing Walking[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025.

Hu N, Wang A, Yu J, et al. Adaptive control of lower limb robot based on human comfort under minimum inertial parameters[C]//2019 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2019: 40-45.

Zhao X, Chen W H, Li B, et al. An adaptive stair-ascending gait generation approach based on depth camera for lower limb exoskeleton[J]. Review of Scientific Instruments, 2019, 90(12).

S. Cai, M. Shao, M. Du, G. Bao and B. Fan, "A Binocular-Camera-Assisted Sensor-to-Segment Alignment Method for Inertial Sensor-Based Human Gait Analysis," in IEEE Sensors Journal, vol. 23, no. 3, pp. 2663-2671, 1 Feb.1, 2023, doi: 10.1109/JSEN.2022.322938

Huang T, Ruan M, Huang S, et al. Comparison of kinematics and joint moments calculations for lower limbs during gait using markerless and marker-based motion capture[J]. Frontiers in Bioengineering and Biotechnology, 2024, 12: 1280363.

Jiabao Li, Ziyang Wang, Chengjun Wang, Wenhang Su,GaitFormer: Leveraging dual-stream spatial–temporal Vision Transformer via a single low-cost RGB camera for clinical gait analysis, Knowledge-Based Systems,Volume 295,2024,111810,ISSN 0950-7051, https://do

T. Ma, X. Xu, Z. Chai, T. Wang, X. Shen and T. Sun, "A Wearable Biofeedback Device for Monitoring Tibial Load During Partial Weight-Bearing Walking," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 3428-3436, 2023

Hu N, Wang A. Kinematics and dynamics analysis of lower limbs based on human motion data[C]//2020 Chinese Automation Congress (CAC). IEEE, 2020: 6727-6732.

Zhang, Y.; Wang, E.; Wang, M.; Liu, S.; Ge, W. Design and Experimental Research of Knee Joint Prosthesis Based on Gait Acquisition Technology. Biomimetics 2021, 6, 28.

Liang F, Yu S, Pang S, Wang X, Jie J, Gao F, Song Z, Li B, Liao W-H and Yin M (2023) Non-human primate models and systems for gait and neurophysiological analysis. Front. Neurosci. 17:1141567.

Chao Jiang, Yan Yang, Huayun Mao, Dewei Yang, Wei Wang, Effects of Dynamic IMU-to-Segment Misalignment Error on 3-DOF Knee Angle Estimation in Walking and Running, Sensors，Chongqing University of Posts and Telecommunications.

Yongping Dan，Yifei Ge，Aihui Wang，Zhuo Li，Human-Gait-Based Tracking Control for Lower Limb Exoskeleton Robot，Journal of Robotics and Mechatronics，Zhongyuan Institute of Technology

Jun Yu，Shuaishuai Zhang，Aihui Wang，Wei Li，Human Gait Analysis Based on OpenSim，2020 International Conference on Advanced Mechatronic Systems

Aihui Wang, Ningning Hu, Jun Yu, Junlan Lu, Yifei Ge, Yan Wang，Human-Like Robust Adaptive PD Based Human Gait Tracking for Exoskeleton Robot，Journal of Robotics and Mechatronics，2021