Lei Shi

ORCID: 0009-0006-9920-1671
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About
Contact & Profiles
Research Areas
  • Advanced Image and Video Retrieval Techniques
  • Complex Systems and Decision Making
  • Genetics, Bioinformatics, and Biomedical Research
  • Image Retrieval and Classification Techniques
  • Machine Learning in Bioinformatics
  • Muscle activation and electromyography studies
  • Industrial Vision Systems and Defect Detection
  • Simulation Techniques and Applications
  • Computational Drug Discovery Methods
  • EEG and Brain-Computer Interfaces
  • Image and Object Detection Techniques
  • Gaze Tracking and Assistive Technology
  • Robotics and Sensor-Based Localization

Henan University of Technology
2024

Yunnan University
2024

Shanghai Lixin University of Accounting and Finance
2024

Tianjin University of Science and Technology
2023

The key to sEMG (surface electromyography)-based control of robotic hands is the utilization signals from affected hand amputees infer their motion intentions. With advancements in deep learning, researchers have successfully developed viable solutions for CNN (Convolutional Neural Network)-based gesture recognition. However, most studies primarily concentrated on utilizing data healthy subjects, often relying high-dimensional feature vectors obtained a substantial number electrodes. This...

10.1016/j.heliyon.2024.e26763 article EN cc-by-nc Heliyon 2024-02-21

This paper presents a feature extraction network called PD-Net (Points and Descriptors-Net) that extracts points generates descriptors from images. The model operates on full-size images using fully convolutional computes the coordinates of point in single forward pass. By building self-coding decoding deep neural learning dataset containing SIFT features, is able to quickly robustly acquire features image, loss function calculated sparse approach during training achieve results similar...

10.1145/3614008.3614021 article EN 2023-07-14
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