43 Result(s)
within
Chapter
** Dong-ming
-
Chapter and Conference Paper
A Convolutional Neural Network Based Classification Method for Mild to Moderate Parkinson’s Disease at Turns
As the second most common neurodegenerative disease, more than 10 million people live with Parkinson’s disease (PD) and suffer with non-motor and motor symptoms. It is essential to identify PD at early stage f...
-
Chapter and Conference Paper
Gender Modulates Visual Attention to Emotional Faces: An Eye-Tracking Study
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a high prevalence in males. Most studies are based on the sample of male ASD individuals, which may lead to a bias in understanding female A...
-
Chapter and Conference Paper
Virtual Reality Game-Based Adaptive Neurofeedback Training for Motor Imagery
Motor imagery-based brain-computer interfaces (MI-BCIs) are promising tools for motor rehabilitation applications. However, neurofeedback training (NFT) of traditional MI is boring and takes a long time. This ...
-
Chapter and Conference Paper
A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI
Brain-computer interface (BCI), a direct communication system between the human brain and external environment, can provide assistance for people with disabilities. Vigilance is an important cognitive state an...
-
Chapter and Conference Paper
A BCI Speller with 120 Commands Encoded by Hybrid P300 and SSVEP Features
Implementing higher speed and larger command sets for brain-computer interfaces (BCIs) has always been the pursuit of researchers, which is helpful to realize the technological applications. The hybrid BCIs jo...
-
Chapter and Conference Paper
Optimization of Stimulus Color for SSVEP-Based Brain-Computer Interfaces in Mixed Reality
Visual Brain-Computer Interfaces (BCIs) often use LCDs or LEDs to present flickering stimuli, which limits its application scenarios. Mixed reality head-mounted displays (MRHMDs) have the potential of improvin...
-
Chapter
Brain-Computer Interfaces in Visualized Medicine
The brain-computer interface (BCI), also known as a brain-machine interface (BMI), has attracted extensive attention in biomedical applications. More importantly, BCI technologies have substantially revolution...
-
Chapter and Conference Paper
Study on the Planning and Development of Oil Production Engineering in Daqing Oilfield
The planning for oil production engineering plays a guiding role in the process of oil production and development, the research on the development of planning for oil production engineering in Daqing Oilfield ...
-
Chapter and Conference Paper
GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation
We propose a precise and efficient normal estimation method that can deal with noise and nonuniform density for unstructured 3D point clouds. Unlike existing approaches that directly take patches and ignore th...
-
Chapter and Conference Paper
Research on Inventory Control Method of Cold Chain Logistics Enterprises Under the Background of New Energy Consumption
The conventional inventory control method does not accurately calculate the inventory cost of cold chain logistics, which leads to its poor application effect. In order to optimize the inventory control capabi...
-
Chapter and Conference Paper
Robust Multi-view Registration of Point Sets with Laplacian Mixture Model
Point set registration is an essential step in many computer vision applications, such as 3D reconstruction and SLAM. Although there exist many registration algorithms for different purposes, however, this top...
-
Chapter and Conference Paper
Automatic Sleep Spindle Detection and Analysis in Patients with Sleep Disorders
Nowadays, Sleep disorder is a common disease, and spindle spindles are important features of the second stage non-rapid eye movement (NREM) sleep. In this paper, we propose an improved automatic detection meth...
-
Chapter and Conference Paper
Effects of Wrist Configuration and Finger Combination on Translational Range of Bimanual Precision Manipulation
Bimanual manipulation is an essential ability in daily human lives, enhancing the one-hand functionality and gras** tolerance ability. The present work focuses on the effects of wrist and finger factors on b...
-
Chapter and Conference Paper
Text-Aware Single Image Specular Highlight Removal
Removing undesirable specular highlight from a single input image is of crucial importance to many computer vision and graphics tasks. Existing methods typically remove specular highlight for medical images an...
-
Chapter and Conference Paper
A Novel Modular and Wearable Supernumerary Robotic Finger via EEG-EMG Control with 4-week Training Assessment
The Supernumerary Robotic Limbs (SRL) is an emerging kind of wearable robot to help reconstruct and enhance human movement functionality by adding extra limbs, such as arms, legs, or fingers. For the control, ...
-
Chapter and Conference Paper
The Analysis of Concurrent-Task Operation Ability: Peripheral-Visual-Guided Grasp Performance Under the Gaze
Gazing at the target is a necessary part of human-machine interaction, providing the basic scene information, such as watching videos, handling documents, manufacturing and assembling workpieces. In these situ...
-
Chapter and Conference Paper
EEG Characteristic Investigation of the Sixth-Finger Motor Imagery
Supernumerary Robotic Limbs (SRL) are body augmentation robotic devices by adding extra limbs or fingers to the human body different from the traditional wearable robotic devices such as prosthesis and exoskel...
-
Chapter and Conference Paper
An Experimental Comparison of CO2 Huff-N-Puff Process in Shale and Tight Reservoirs
The shale and tight sandstone reservoirs, the important parts of unconventional oil and gas resources, are extremely difficult to be exploited due to the complex geological features and the diverse modes of oc...
-
Chapter and Conference Paper
Prediction of Engineering Parameters Based on Improved Artificial Neural Network
The prediction of engineering parameters is crucial for engineering management. This study proposes an improved integrated artificial neural network (ANN) model, combining ANN with AdaBoost algorithm and cost ...
-
Chapter and Conference Paper
Learning 3D Keypoint Descriptors for Non-rigid Shape Matching
In this paper, we present a novel deep learning framework that derives discriminative local descriptors for 3D surface shapes. In contrast to previous convolutional neural networks (CNNs) that rely on renderin...
