A Double-Hurdle Quantification Model for Freezing of Gait of Parkinson’s Patients

Information Science, Artificial Intelligence, Medicine, Neurology,
Parkinson's disease   Freezing of gait   Zero-inflated data distribution   Double-hurdle model   Random forest algorithm   Mixed-task learning   mrmr  

Research on Quantitative Model for Freezing of Gait in Parkinson’s Patients Background Introduction Parkinson’s Disease (PD) is a common neurodegenerative disease, accompanied by complex motor disorders. In the later stages of Parkinson’s disease, the phenomenon of “Freezing of Gait” (FOG) becomes particularly prominent. FOG refers to a transient p...

An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network for Online Attention Decoding

An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network for Online Attention Decoding

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Brain-Computer Interface   Attention Decoding   Domain-Adversarial Training   Convolutional Neural Network   EEG Signals   Online Experiments   Intersubject Variability  

Cross-Subject Brain-Computer Interface: Real-time Attention Decoding Based on Domain-Adversarial Training with Convolutional Neural Networks Academic Background Attention decoding plays a crucial role in our daily lives and its implementation based on electroencephalogram (EEG) has garnered extensive attention. However, due to significant inter-ind...

Quantification and Diagnosis of Mobility Deficits

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Biophysics,
mobility deficits   Parkinson's disease   wearable sensors   machine learning   motion tracking  

Background and Research Motivation Parkinson’s Disease (PD) is a neurodegenerative disorder primarily affecting patients’ motor abilities, leading to tremors, bradykinesia, limb rigidity, and problems with gait and balance. These motor deficits significantly impact patients’ ability to live independently and their quality of life. Statistics predic...

A Biomimetic Visual Detection Model: Event-Driven LGMDs Implemented with Fractional Spiking Neuron Circuits

A Biomimetic Visual Detection Model: Event-Driven LGMDs Implemented with Fractional Spiking Neuron Circuits

Information Science, Artificial Intelligence, Medicine, Neurology, Ophthalmology, Life Sciences, Bioengineering,
biomimetic vision   LGMD   spiking neurons   event camera   collision detection   motion perception   multi-scale spike frequency  

Academic Report: Research on a Biomimetic Visual Detection Model Based on Fractional Spiking Neuron Circuits In the fields of intelligent autonomous driving and unmanned aerial vehicles, quickly and effectively predicting collisions and triggering avoidance behaviors have significant application value. The Lobula Giant Movement Detectors (LGMDs) in...

Field-of-View IoU for Object Detection in 360° Images

Information Science, Artificial Intelligence,
Object Detection   360° Image   Panorama   Field-of-View IoU   Data Augmentation  

Object Detection in 360° Images using FOV IoU 360° cameras have gained widespread use in various fields such as virtual reality, autonomous driving, and security monitoring in recent years. With the increase in 360° image data, the demand for 360° image recognition tasks, especially object detection, is continuously growing. Due to the shortcomings...

dvmark: a deep multiscale framework for video watermarking

dvmark: a deep multiscale framework for video watermarking

Information Science, Artificial Intelligence,
video watermarking   deep learning   multiscale design   video compression   video editing   robustness   visual quality  

DVMark: A Multi-Scale Deep Learning Framework for Video Watermarking Video watermarking technology achieves data hiding by embedding information into the cover video. The DVMark model proposed in this paper is a multi-scale video watermarking solution based on deep learning that boasts high robustness and practicality, capable of resisting various ...