|
|
|
|
|
Gianluca Giuffrida, Gabriele Meoni and Luca Fanucci
During the last years, the mobility of people with upper limb disabilities and constrained on power wheelchairs is empowered by robotic arms. Nowadays, even though modern manipulators offer a high number of functionalities, some users cannot exploit all ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sepideh Kilani, Seyedeh Nadia Aghili and Mircea Hulea
A new approach is introduced to address the subject dependency problem in P300-based brain-computer interfaces (BCI) by using transfer learning. The occurrence of P300, an event-related potential, is primarily associated with changes in natural neuron ac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Egor I. Chetkin, Sergei L. Shishkin and Bogdan L. Kozyrskiy
Bayesian neural networks (BNNs) are effective tools for a variety of tasks that allow for the estimation of the uncertainty of the model. As BNNs use prior constraints on parameters, they are better regularized and less prone to overfitting, which is a s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ki-Seung Lee
Moderate performance in terms of intelligibility and naturalness can be obtained using previously established silent speech interface (SSI) methods. Nevertheless, a common problem associated with SSI has involved deficiencies in estimating the spectrum d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Diego F. Collazos-Huertas, Andrés M. Álvarez-Meza and German Castellanos-Dominguez
Brain activity stimulated by the motor imagery paradigm (MI) is measured by Electroencephalography (EEG), which has several advantages to be implemented with the widely used Brain?Computer Interfaces (BCIs) technology. However, the substantial inter/intr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yen-Cheng Chu, Yun-Jie Jhang, Tsung-Ming Tai and Wen-Jyi Hwang
The objective of this study is to present novel neural network (NN) algorithms and systems for sensor-based hand gesture recognition. The algorithms are able to classify accurately a sequence of hand gestures from the sensory data produced by acceleromet...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mashael Aldayel, Mourad Ykhlef and Abeer Al-Nafjan
This article presents an application of deep learning in preference detection performed using EEG-based BCI.
|
|
|
|
|
|
|
|
|
|
|
Nishant Kumar and Stefan Gumhold
Image fusion helps in merging two or more images to construct a more informative single fused image. Recently, unsupervised learning-based convolutional neural networks (CNN) have been used for different types of image-fusion tasks such as medical image ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Saraswati Sridhar and Vidya Manian
Cognitive deterioration caused by illness or aging often occurs before symptoms arise, and its timely diagnosis is crucial to reducing its medical, personal, and societal impacts. Brain?computer interfaces (BCIs) stimulate and analyze key cerebral rhythm...
ver más
|
|
|
|
|
|
|
|
|
|
|
Heesung Yoon, Yongcheol Kim, Kyoochul Ha, Soo-Hyoung Lee, Gee-Pyo Kim
Pág. 1 - 16
Time series models based on an artificial neural network (ANN) and support vector machine (SVM) were designed to predict the temporal variation of the upper and lower freshwater-saltwater interface level (FSL) at a groundwater observatory on Jeju Island,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Heesung Yoon, Yongcheol Kim, Kyoochul Ha, Soo-Hyoung Lee and Gee-Pyo Kim
Time series models based on an artificial neural network (ANN) and support vector machine (SVM) were designed to predict the temporal variation of the upper and lower freshwater-saltwater interface level (FSL) at a groundwater observatory on Jeju Island,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rachael B. Chiao, Corey L. Sullivan, Lori Berger, Tawnee L. Sparling, Kendall Clites, Tracy Landry and Matthew J. Carty
(1) Background: The standard surgical approach to amputation has failed to evolve significantly over the past century. Consequently, standard amputations often fall short with regard to improving the quality of life (QoL) for patients. A modified lower e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eduardo Carabez, Miho Sugi, Isao Nambu and Yasuhiro Wada
As brain-computer interfaces (BCI) must provide reliable ways for end users to accomplish a specific task, methods to secure the best possible translation of the intention of the users are constantly being explored. In this paper, we propose and test a n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Feng Li, Xiaoyu Li, Fei Wang, Dengyong Zhang, Yi Xia and Fan He
Aiming at enhancing the classification accuracy of P300 Electroencephalogram signals in a non-invasive brain?computer interface system, a novel P300 electroencephalogram signals classification algorithm is proposed which is based on improved convolutiona...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ioannis G. Tsoulos and V. N. Stavrou
In the current research, we consider the solution of dispersion relations addressed to solid state physics by using artificial neural networks (ANNs). Most specifically, in a double semiconductor heterostructure, we theoretically investigate the dispersi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sung-Woo Byun and Seok-Pil Lee
The goal of the human interface is to recognize the user?s emotional state precisely. In the speech emotion recognition study, the most important issue is the effective parallel use of the extraction of proper speech features and an appropriate classific...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bo Jiang, Yanbai He, Rui Chen, Chuanyan Hao, Sijiang Liu and Gangyao Zhang
Learning data feedback and analysis have been widely investigated in all aspects of education, especially for large scale remote learning scenario like Massive Open Online Courses (MOOCs) data analysis. On-site teaching and learning still remains the mai...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kathia Chenane, Youcef Touati, Larbi Boubchir and Boubaker Daachi
The following contribution describes a neural net-based, noninvasive methodology for electroencephalographic (EEG) signal classification. The application concerns a brain?computer interface (BCI) allowing disabled people to interact with their environmen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mateusz Malarczyk, Mateusz Zychlewicz, Radoslaw Stanislawski and Marcin Kaminski
In this paper, the problem of the remote control of electric drives with a complex mechanical structure is discussed. Oscillations of state variables and control precision are the main issues found in such applications. The article proposes a smart, IoT-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuerui Liu, Yanqi Wu and Yisong Zhou
Axial bearing capacity is the key index of circular concrete-filled steel tubes (CCFST). A hybrid PSO-ANN model consisting of an artificial neural network (ANN) optimized with particle swarm algorithm (PSO) was proposed to reliably and accurately predict...
ver más
|
|
|
|
|
|