A5017292224- Muscle activation and electromyography studies
- Indoor and Outdoor Localization Technologies
- EEG and Brain-Computer Interfaces
- Seismic Imaging and Inversion Techniques
- Underwater Acoustics Research
- Underwater Vehicles and Communication Systems
- Gaze Tracking and Assistive Technology
- GNSS positioning and interference
- Geological and Geophysical Studies
Henan University of Technology
2023-2024
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...
Position determination is a critical technical challenge to be addressed in the unmanned and intelligent advancement of crane systems. Traditional positioning techniques, such as those based on magnetic grating or encoders, are limited measuring positions main carriage trolley. However, during operations, accurately determining position load becomes problematic when it undergoes swinging motions. To overcome this limitation, paper proposes novel Ultra-Wide-Band (UWB) method for systems,...
Summary Surface-related and internal multiples are not handled correctly by many imaging algorithms hence should be removed in the early stages of processing. A variety cascaded techniques were used to deal with multiples, however, there is still a big challenge due poor acquisition or complex subsurface structures. In this paper, we explore approximate series removal steps denoising convolutional neural network (DnCNN). Label data given existing methods like SRME, radon transform high...