Jiaju Zhu

ORCID: 0000-0003-3878-6611
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Research Areas
  • Stroke Rehabilitation and Recovery
  • Human Pose and Action Recognition
  • Climate change and permafrost
  • Shoulder Injury and Treatment
  • Piezoelectric Actuators and Control
  • Mechanics and Biomechanics Studies
  • Foot and Ankle Surgery
  • Metallurgy and Material Forming
  • Cryospheric studies and observations
  • Conducting polymers and applications
  • Diabetic Foot Ulcer Assessment and Management
  • Methane Hydrates and Related Phenomena
  • Transcranial Magnetic Stimulation Studies
  • Advanced Sensor and Energy Harvesting Materials
  • Knee injuries and reconstruction techniques
  • Lower Extremity Biomechanics and Pathologies
  • Gait Recognition and Analysis
  • Video Surveillance and Tracking Methods
  • Muscle activation and electromyography studies
  • Topology Optimization in Engineering
  • Analytical Chemistry and Sensors
  • Polar Research and Ecology
  • Hip disorders and treatments
  • Advanced Neuroimaging Techniques and Applications
  • Geology and Paleoclimatology Research

Northeast Normal University
2024-2025

Harbin Normal University
2022-2023

Introduction Exercise is pivotal for maintaining physical health in contemporary society. However, improper postures and movements during exercise can result sports injuries, underscoring the significance of skeletal motion analysis. This research aims to leverage advanced technologies such as Transformer, Graph Neural Networks (GNNs), Generative Adversarial (GANs) optimize training mitigate risk injuries. Methods The study begins by employing a Transformer network model sequences,...

10.3389/fnins.2024.1353257 article EN cc-by Frontiers in Neuroscience 2024-03-28

In track and field sports, footwork can greatly affect the effect performance of sports. Accurate effectively improve professional athletes, for ordinary trainers, it reduce probability training injuries. To solve problem that traditional is inaccurate not well accepted by people, this paper has used an image processing method based on support vector machine (SVM) algorithm to identify footwork. paper, a 13-s video was extracted frame from athletes' videos in Olympic sports competitions, as...

10.1038/s41598-025-95570-1 article EN cc-by-nc-nd Scientific Reports 2025-03-28

Hip injuries are a prevalent concern among athletes, often resulting in significant declines performance and overall quality of life. Conventional treatment modalities for hip morphological abnormalities come with inherent limitations, necessitating deeper exploration innovative approaches to address these challenges. This research aims investigate the potential 3D technology reducing morphology enhancing structural integrity thereby offering novel solutions mitigate impact within athletic...

10.1080/10255842.2025.2502828 article EN Computer Methods in Biomechanics & Biomedical Engineering 2025-05-12

Tennis is a sport with large age span. Its technology complex. Factors such as tennis racket and service position will affect the effect of players holding ball, but often posture strength players’ elbow tendon. Once wrong or too strong, it cause irreversible damage to players. Therefore, study artificial neural network training on injury great significance. Based network, this paper studies biomechanics in service. Firstly, expounds concept characteristics elbow. Then uses experimental...

10.1155/2022/2725900 article EN cc-by Security and Communication Networks 2022-02-09

Sediment grain-size distribution (GSD) provides rich information about sedimentary sources and can potentially do the same with regard to environmental climatic changes. However, neither traditional descriptive statistics nor curving-fitting methods fully address its complexity. We selected Greater Khingan Range in northeastern China as study area used parameterized end-member analysis (EMA) of GSD four drilling cores extract different (EM) components. The results show that EM1 (mode...

10.3390/land12091728 article EN cc-by Land 2023-09-05

It is a very common phenomenon to have ankle injuries during sports. Therefore, the detection of has become concern theme scholars. great significance realize apparent strain measurement quickly in colleges and universities. In this paper, data mining algorithm-based approach measuring joint football sports proposed. This paper first analyzes integrates research results scholars then expounds from two aspects measurement. The method introduced detail, principle explained by formula....

10.1155/2022/1046843 article EN Wireless Communications and Mobile Computing 2022-03-24
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