Results 11 to 20 of about 928,321 (341)

A Batch-mode Active Learning Method Based on the Nearest Average-class Distance (NACD) for Multiclass Brain-Computer Interfaces [PDF]

Journal of Fiber Bioengineering and Informatics, 2014
In this paper, a novel batch-mode active learning method based on the nearest average-class distance (ALNACD) is proposed to solve multi-class problems with Linear Discriminate Analysis (LDA) classiflers. Using the Nearest Average-class Distance (NACD) query function, the ALNACD algorithm selects a batch of most uncertain samples from unlabeled data to
Xuemin Tan
openalex   +3 more sources

Convolutional neural network, personalised, closed-loop Brain-Computer Interfaces for multi-way control mode switching in real-time [PDF]

, 2018
AbstractExoskeletons and robotic devices are for many motor disabled people the only way to interact with their envi-ronment. Our lab previously developed a gaze guided assistive robotic system for grasping. It is well known that the same natural task can require different interactions described by different dynamical systems that would require ...
Pablo Ortega, Cédric Colas, A. Aldo Faisal   +2 more
openalex   +4 more sources

A Synchronous Motor Imagery Based Neural Physiological Paradigm for Brain Computer Interface Speller

Frontiers in Human Neuroscience, 2017
Brain Computer Interface (BCI) speller is a typical BCI-based application to help paralyzed patients express their thoughts. This paper proposed a novel motor imagery based BCI speller with Oct-o-spell paradigm for word input. Furthermore, an intelligent
Lei Cao, Lei Cao, Bin Xia, Bin Xia, Oladazimi Maysam, Jie Li, Hong Xie, Niels Birbaumer, Niels Birbaumer   +8 more
doaj   +2 more sources

Lithuanian Speech Corpus Liepa for Development of Human-Computer Interfaces Working in Voice Recognition and Synthesis Mode

Informatica, 2018
Reikšminiai žodžiai: Speech corpus; Speech annotation; Speech synthesis; Speech recognition; Human-computer ...
Sigita Laurinčiukaitė, Laimutis Telksnys, Pijus Kasparaitis, Regina Kliukienė, Vilma Paukštytė   +4 more
openalex   +4 more sources

A model for the control mode man-computer interface dialogue [PDF]

, 1981
A four stage model is presented for the control mode man-computer interface dialogue. It consists of context development, semantic development syntactic development, and command execution.
Roy L. Chafin
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A Self-Paced P300 Healthcare Brain-Computer Interface System with SSVEP-Based Switching Control and Kernel FDA + SVM-Based Detector

Applied Sciences, 2016
This paper presents a novel brain-computer interface (BCI)-based healthcare control system, which is based on steady-state visually evoked potential (SSVEP) and P300 of electroencephalography (EEG) signals. The proposed system is composed of two modes, a
Yi-Hung Liu, Shih-Hao Wang, Ming-Ren Hu
doaj   +2 more sources

A Wireless Bi-Directional Brain–Computer Interface Supporting Both Bluetooth and Wi-Fi Transmission [PDF]

Micromachines
Wireless neural signal transmission is essential for both neuroscience research and neural disorder therapies. However, conventional wireless systems are often constrained by low sampling rates, limited channel counts, and their support of only a single ...
Wei Ji, Haoyang Su, Shuang Jin, Ye Tian, Gen Li, Yingkang Yang, Jiazhi Li, Zhitao Zhou, Xiaoling Wei, Tiger H. Tao, Lunming Qin, Yifei Ye, Liuyang Sun   +12 more
doaj   +2 more sources

A theoretical and computational investigation of mixed mode creep crack growth along an interface [PDF]

International Journal of Fracture, 2021
Abstract In this paper, we propose a theoretical framework for studying mixed mode (I and II) creep crack growth under steady state creep conditions. In particular, we focus on the problem of creep crack growth along an interface, whose fracture properties are weaker than the bulk material, located either side of the interface.
Elmukashfi, E, Cocks, ACF
openaire   +3 more sources

A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network [PDF]

Brain-Apparatus Communication: A Journal of Bacomics, 2022
The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusing multiple paradigms.
Wen-Lin Luo, Wanguang Yin, Quanying Liu, Youzhi Qu   +3 more
semanticscholar   +1 more source

A robotic arm control system with simultaneous and sequential modes combining eye-tracking with steady-state visual evoked potential in virtual reality environment

Frontiers in Neurorobotics, 2023
At present, single-modal brain-computer interface (BCI) still has limitations in practical application, such as low flexibility, poor autonomy, and easy fatigue for subjects. This study developed an asynchronous robotic arm control system based on steady-
Rongxiao Guo, Yanfei Lin, Xi Luo, Xiaorong Gao, Shangen Zhang   +4 more
doaj   +1 more source