A5026564409- Simulation and Modeling Applications
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Computer Graphics and Visualization Techniques
- Speech and Audio Processing
- Robotic Path Planning Algorithms
- Land Use and Ecosystem Services
- Industrial Technology and Control Systems
- 3D Surveying and Cultural Heritage
- Urban Heat Island Mitigation
- Interactive and Immersive Displays
- Human Motion and Animation
- Gait Recognition and Analysis
- Remote Sensing and Land Use
- Hand Gesture Recognition Systems
- Image and Signal Denoising Methods
- Wireless Sensor Networks and IoT
- Fish Ecology and Management Studies
- Internet of Things and Social Network Interactions
- Radio Wave Propagation Studies
- Human Pose and Action Recognition
- Advanced Measurement and Detection Methods
- Advanced Algorithms and Applications
Zhengzhou University
2010-2022
United States Government Accountability Office
2010
Abstract Objective . The biggest advantage of steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) lies in its large command set and high information transfer rate (ITR). Almost all current SSVEP–BCIs use a computer screen (CS) to present flickering stimuli, which limits flexible actual scenes. Augmented reality (AR) technology provides the ability superimpose stimuli on real world, it considerably expands application scenarios SSVEP–BCI. However, whether...
Steady-state visual evoked potentials-based brain-computer interfaces (SSVEP-BCI) has the advantage of high information transfer rate (ITR) and little user training, it a application value in field disability assistance human-computer interaction. Generally SSVEP-BCI requires personal computer screen (PC) to display several repetitive stimuli for inducing SSVEP response, which reduces its portability flexibility. Using augmented reality (AR) glasses worn on head could solve above drawbacks,...
Satellite-based remote sensing technologies are utilized extensively to investigate urban thermal environment under rapid expansion. Current Moderate Resolution Imaging Spectroradiometer (MODIS) data are, however, unable adequately represent the spatially detailed information because of its relatively coarser spatial resolution, while Landsat cannot explore temporally continued analysis due lower temporal resolution. Combining MODIS and data, “Landsat-like” were generated by using Flexible...
Because an augmented-reality-based brain-computer interface (AR-BCI) is easily disturbed by external factors, the traditional electroencephalograph (EEG) classification algorithms fail to meet real-time processing requirements with a large number of stimulus targets or in real environment. We propose multi-target fast method for steady-state visual evoked potential (AR-SSVEP), using convolutional neural network (CNN). To explore availability and accuracy high-efficiency methods AR-SSVEP...
In this paper, we present a hybrid de-noising method to remove the noise of electrostatic monitoring signal. Firstly, introduce which combines advantage median filter and wavelet multilevel threshold de-noise based on Birge-Massart strategy, then one methodology compute signal-to-noise by decomposing, take improved as evaluation index compare methods. The two illustrative examples are employed validate effectiveness proposed in paper.
Augmented reality-based brain-computer interface (AR-BCI) has a low signal-to-noise ratio (SNR) and high real-time requirements. Classical machine learning algorithms that improve the recognition accuracy through multiple averaging significantly affect information transfer rate (ITR) of AR-SSVEP system. In this study, fast method based on separable convolutional neural network (SepCNN) was developed for an AR-based P300 component (AR-P300). SepCNN achieved single extraction AR-P300 features...
In the current effect analysis of large-scale electromagnetic radiation, following factors such as terrain and surface features around radiation source is not involved, which lead to big error field intensity distribution from computational actual measure value after equipments service. Aiming at critical case, we firstly analyze fundamental principle in virtual scene, then establish necessary component model library for digitally simulating source, design three-dimensional scene editor....
Based on the designing requirement of virtual car driving simulation system, a collision detection algorithm based model projection point was proposed referring to Moore and Wilhelms' ideas system. The rationally distributes minimizes objects which are involved in calculation different stages, decomposes struction scenes re-organizes composition models. experiments analyses demonstrate that new not only reduces time detection, but also improves accuracy detection.
With the development of Internet Things (IoT) and artificial intelligence, people's demand for location-based services is increasingly urgent. Aim at recognize human lower limb posture accurately, recognition based on image information sensor such as magnetometer, accelerometer, rate gyro, MARG sensors, has been research hot spot. However, methods require higher computing resources will be affected by environmental factors fiber optics, shading, etc; have low accuracy with traditional...