The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Wang Xing-y - One of the best experts on this subject based on the ideXlab platform.
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Robot control system based on auditory brain-Computer Interface
Control theory & applications, 2015Co-Authors: Wang Xing-yAbstract:Monotony,low efficiency and heavy burden are common drawbacks in the brain-Computer Interface(BCI)system.Those drawbacks can be alleviated by optimizing the functions of controlled devices with intelligent methods.However,there have been few studies related to this work.The key problem is how to find the proper way to apply the intelligent method to BCI system based on the deficiency of disabled patients.In this paper,we present an auditory-based brain Computer Interface for controlling a robot with machine vision function for visually impaired patients.The robot searches and tracks the target based on the name which has been sent to the robot by the audio-based BCI.To some extent,this system helps the visually impaired patients to offset the deficiency in their daily life and sets as an example for the realization of intelligent brain Computer Interface system.
M.m. Moore - One of the best experts on this subject based on the ideXlab platform.
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Real-world applications for brain-Computer Interface technology
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2003Co-Authors: M.m. MooreAbstract:The mission of the Georgia State University BrainLab is to create and adapt methods of human-Computer interaction that will allow brain-Computer Interface (BCI) technologies to effectively control real-world applications. Most of the existing BCI applications were designed largely for training and demonstration purposes. Our goal is to research ways of transitioning BCI control skills learned in training to real-world scenarios. Our research explores some of the problems and challenges of combining BCI outputs with human-Computer Interface paradigms in order to achieve optimal interaction. We utilize a variety of application domains to compare and validate BCI interactions, including communication, environmental control, neural prosthetics, and creative expression. The goal of this research is to improve quality of life for those with severe disabilities.
Irina-emilia Nicolae - One of the best experts on this subject based on the ideXlab platform.
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An improved stimuli system for Brain-Computer Interface applications
Proceedings of the International Conference on ELECTRONICS COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013, 2013Co-Authors: Irina-emilia NicolaeAbstract:When developing a motion synchronous Brain-Computer Interface, it is very important to have effective stimuli. This research testes and proposes an improved brain Computer Interface stimulus system, based on event related spectral perturbation. In order to investigate the reaction of the motor cortex to stimuli, the influence of the human senses has to be investigated. Considering the limitations of human senses, the article proposes effective visual and auditory stimuli in two similar tasks, to gain accuracy and better reaction time (RT) for real movements in Brain-Computer Interface synchronous systems.
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An Improved Stimuli System for Brain-Computer Interface Applications
International Journal of Monitoring and Surveillance Technologies Research, 2013Co-Authors: Irina-emilia NicolaeAbstract:When developing a motion synchronous Brain-Computer Interface, it is very important to have effective stimuli. This research tests and proposes an improved brain Computer Interface stimulus system, based on event related spectral perturbation. In order to investigate the reaction of the motor cortex to stimuli, the influence of the human senses has to be investigated. Considering the limitations of human senses, the article proposes effective visual and auditory stimuli in two similar tasks, to gain accuracy and better reaction time RT for real movements in Brain-Computer Interface synchronous systems.
Lucia Rita Quitadamo - One of the best experts on this subject based on the ideXlab platform.
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Mental Tasks Recognition for a Brain/Computer Interface
Lecture Notes in Electrical Engineering, 2009Co-Authors: Giovanni Costantini, Daniele Casali, M. Carota, Giovanni Saggio, Luigi Bianchi, Manuel Abbafati, Lucia Rita QuitadamoAbstract:In this paper, a brain/Computer Interface is proposed. The aim of this work is the recognition of the will of a human being, without the need of detecting the movement of any muscle. Disabled people could take, of course, most important advantages from this kind of sensor system, but it could also be useful in many other situations where arms and legs could not be used or a brain-Computer Interface is required to give commands. In order to achieve the above results, a prerequisite has been that of developing a system capable of recognizing and classifying four kind of tasks: thinking to move the right hand, thinking to move the left hand, performing a simple mathematical operation, and thinking to a carol.
Tomasz M. Rutkowski - One of the best experts on this subject based on the ideXlab platform.
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Tactile-force brain-Computer Interface paradigm
Multimedia Tools and Applications, 2014Co-Authors: Shota Kono, Tomasz M. RutkowskiAbstract:This study explores the extent to which a neurotechnology multimedia application utilizing tactile-force stimulus delivered to the hand holding a force-feedback joystick can serve as a platform for a brain-Computer Interface (BCI). We present a successful application of an extended multimedia paradigm beyond the classic vision and auditory based approaches. The four pressure directions are used to evoke tactile brain potential responses, thus defining a tactile-force brain Computer Interface (tfBCI). We present brainwave electroencephalogram (EEG) signal processing and classification procedures leading to successful online interfacing results. Experiment results with seven advanced and five naive users performing online BCI experiments provide a validation of the hand location tfBCI paradigm, while the feasibility of the concept is substantiated by noteworthy information-transfer rates.
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Brain-Computer Interface Research (3) - Multi-command Tactile and Bone-Conduction-Auditory Brain-Computer Interface
SpringerBriefs in Electrical and Computer Engineering, 2014Co-Authors: Tomasz M. Rutkowski, Hiromu Mori, Koichi MoriAbstract:We study the extent to which vibrotactile stimuli delivered to the head of a user can serve as a platform for a brain Computer Interface (BCI) paradigm. Six and ten head position setups are used to evoke combined somatosensory and auditory (via bone-conduction effect) brain responses, in order to define a multimodal tactile and bone-conduction-auditory brain Computer Interface (tbcaBCI) suitable for ALS-TLS patients with bad vision and suffering from an ear-blocking-syndrome. Experimental results on users performing online tbcaBCI, using stimuli with a moderately fast stimulus-onset-asynchrony (SOA), validate the tbcaBCI paradigm, while the feasibility of the concept is illuminated through information-transfer-rate analyses.
