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Dissertations / Theses on the topic 'Brain-computer'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Sylenko, E. V. "Brain-computer." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/45871.

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The development of different variants of the interface ―brain-computer‖ (BCI) in recent years ceased to be an experimental direction and finds its practical application. What were the expectations like, what works now and what to expect from this technology in the future?

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Sirobaba, N. S., and D. O. Marchenko. "Brain-computer interface." Thesis, Вид-во СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/22533.

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A brain–computer interface (BCI), sometimes called a direct neural interface or a brain–machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often aimed at assisting, augmenting or repairing human cognitive or sensory-motor functions. The field of BCI has advanced mostly toward neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. Thanks to the remarkable cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector ch

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Shliahetskiy, A. A. "Brain - computer interface." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46934.

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Brain -computer interface - the interface that implements the connection between the human brain and the computer. The main idea is that when you think about action and do it, the same part of the brain is activated.In the middle of the XIX century, Emil Du Bois- Reymond showed the relationship between electric current and nerve impulses; in 1875. Richard ketone managed to register the electrical activity of the brain of animals. The psychiatrist Hans Berger in 1924 invented a method to record the electrical activity of the human brain. In 1967, psychiatrist Edmond Dewan published a pa

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Almeida, Luís Filipe Martinho de. "Brain computer interface." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21618.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>A investigação e desenvolvimento de sistemas BCI, Brain Computer Interface tem crescido de ano para ano, com resultados cada vez melhores. Uma das principais vertentes para a qual estes sistemas têm sido usados é na área da neuroprostética. Desta forma tem-se demonstrado em vários estudos e investiga ções a possibilidade de controlar membros completos ou parciais robóticos por nós seres humanos, dando assim uma liberdade e conquista de movimentos perdidos a pessoas incapacitadas. No entanto uma grande parte dos melhores resultado

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Sebastián, Romagosa Marc. "Brain computer interfaces for brain acquired damage." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/670835.

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El terme Interfície Cervell-Ordinador (ICC), va sorgir als anys 70 pel Dr. Jacques J. Vidal, que mitjançant l’ús de l’electroencefalografia (EEG) fou el primer a intentar proporcionar una sortida alternativa als senyals cerebrals per controlar un dispositiu extern. L’objectiu principal d’aquesta fita era ajudar als pacients amb problemes de moviment i comunicació a relacionar-se amb el seu entorn. Des de llavors, molts neurocientífics han emprat aquesta idea i han intentat posar-la en pràctica utilitzant diferents mètodes d’adquisició i processament del senyal, nous dispositius d’interacció

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Kaper, Matthias. "P300 based brain computer interfacing." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=979538203.

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7

Zioga, Polina. "Live brain-computer cinema performance." Thesis, Glasgow School of Art, 2017. http://radar.gsa.ac.uk/5304/.

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Artists have been interested in the human brain’s anatomy and physiology since at least the Renaissance, while in the twentieth century, the technological revolution enabled them to include in their practices methods adopted from the sciences and engineering, like Brain-Computer Interfaces (BCIs). The use of BCIs originates in the 1960s, with musicians, performers and artists being amongst the pioneers in the design of BCI applications. In recent years, after a period of little progress in the field, the introduction of new commercial-grade Electroencephalography (EEG)-based BCIs has led to a

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Sjölie, Daniel. "Reality-based brain-computer interaction." Licentiate thesis, Umeå universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-44904.

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Recent developments within human-computer interaction (HCI) and cognitive neuroscience have come together to motivate and enable a framework for HCI with a solid basis in brain function and human reality. Human cognition is increasingly considered to be critically related to the development of human capabilities in the everyday environment (reality). At the same time, increasingly powerful computers continuously make the development of complex applications with realistic interaction easier. Advances in cognitive neuroscience and brain-computer interfaces (BCIs) make it possible to use an under

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Halder, Sebastian [Verfasser]. "Prediction of Brain-Computer Interface Performance: For P300 and Motor Imagery Brain-Computer Interfaces / Sebastian Halder." München : Verlag Dr. Hut, 2011. http://d-nb.info/1015607330/34.

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10

Daly, Ian. "Phase synchronisation in brain computer interfacing." Thesis, University of Reading, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553633.

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Brain Computer Interfaces (BCls) are an emerging area of research combining the Neuroscience, Computer Science, Engineering, Mathematics, Human Computer Interaction and Psychology research fields. A BCI enables an individual to exert control of a computer without activation of the efferent nervous system or the muscles. This allows individuals suffering with partial or complete paralysis and associated conditions which prevent muscle movement to control a computer and hence communicate and exert control over their environment. This thesis first investigates tools for automatically removing art

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Soukup, Michael. "Brain-Computer Interface In Control Systems." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25749.

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A Brain-Computer Interface (BCI) is a system that allows for direct communication between the brain and an external device. Originally, the motivation for developing BCIs has been to provide severely disabled individuals with a basic communication system. Recent years, BCIs directed at regular consumers in practical control applications have gained popularity as well, for which the ultimate goal is to provide a more natural way of communicating with machines. However, BCIs intended at use in control systems face several challenges and are still inferior to conventional controllers in terms of

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12

Wiklund, Victor, and Axel Karlsson. "Generalisation in brain computer interface classification." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 1992. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229999.

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Brain computer interfaces (BCIs) are systems that allow users to interact with devices without relying on the neuromuscular pathways. This interaction is achieved by allowing the system to read the electrical activity of the brain and teaching it to map certain patterns of activation to certain commands. There are many applications for BCIs ranging from controlling prosthetics to gaming, but adapting both the user and the system to one another is a time and resource consuming process. Even more problematic, BCIs tend to only perform well for a single user and only for a limited time. This pape

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Kadambi, Pooja. "Brain Computer Interface for Fatigue Assessment." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1393237787.

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Babalola, Karolyn Olatubosun. "Brain-computer interfaces for inducing brain plasticity and motor learning: implications for brain-injury rehabilitation." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41164.

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The goal of this investigation was to explore the efficacy of implementing a rehabilitation robot controlled by a noninvasive brain-computer interface (BCI) to influence brain plasticity and facilitate motor learning. The motivation of this project stemmed from the need to address the population of stroke survivors who have few or no options for therapy. A stroke occurs every 40 seconds in the United States and it is the leading cause of long-term disability [1-3]. In a country where the elderly population is growing at an astounding rate, one in six persons above the age of 55 is at risk o

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Gnanayutham, Paul Wesley. "Interaction paradigms for brain-body interfaces for computer users with brain injuries." Thesis, University of Sunderland, 2008. http://sure.sunderland.ac.uk/3554/.

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In comparison to all types of injury, those to the brain are among the most likely to result in death or permanent disability. Some of these brain-injured people cannot communicate, recreate, or control their environment due to severe motor impairment. This group of individuals with severe head injury have received limited help from assistive technology. Brain-Computer Interfaces have opened up a spectrum of assistive technologies, which are particularly appropriate for people with traumatic brain injury, especially those who suffer from “locked-in” syndrome. The research challenge here is to

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Del, Monte Tamara. "Utilizzo dell'elettroencefalografia per la brain-computer interface." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9220/.

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Con Brain-Computer Interface si intende un collegamento diretto tra cervello e macchina, che essa sia un computer o un qualsiasi dispositivo esterno, senza l’utilizzo di muscoli. Grazie a sensori applicati alla cute del cranio i segnali cerebrali del paziente vengono rilevati, elaborati, classificati (per mezzo di un calcolatore) e infine inviati come output a un device esterno. Grazie all'utilizzo delle BCI, persone con gravi disabilità motorie o comunicative (per esempio malati di SLA o persone colpite dalla sindrome del chiavistello) hanno la possibilità di migliorare la propria qualità di

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Chahine, Fredrick. "Classification of Electroencephalographic Signalsfor Brain-Computer Interface." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136678.

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Brain-computer interface is a promising research area that has the potential to aid impaired individuals in their daily lives. There are several different methods for capturing brain signals, both invasive and noninvasive. A popular noninvasive technique is electroencephalography (EEG). It is of great interest to be able to interpret EEG signals accurately so that a machine can carry out correct instructions. This paper looks at different machine learning techniques, both linear and nonlinear, in an attempt to classify EEG signals. It is found that support vector machines provide more satisfac

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NORDSTRÖM, RICHARD, and ANNIKA TÄNGMARK. "Classification of Electroencephalographic SignalsFor Brain-Computer Interface." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136679.

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Brain-Computer Interface (BCI) can be used for example to help disabled people to control a computer without the use of mouse or keyboard. The brain signals beta and mu are acquired by electroencephalography (EEG) and shows what parts of the brain that are active not only at the performing of a muscular movement, but also by thinking about it. By analyzing EEG-signals with the methods linear discriminant analysis and artificial neural networks the aim is to explore which of two possible cognitive tasks a subject is performing. In the essay these methods are compared with aspect to correct clas

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Shoker, Leor. "Signal processing algorithms for brain computer interfacing." Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/56097/.

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A brain computer interface (BCI) allows the user to communicate with a computer using only brain signals. In this way, the conventional neural pathways of peripheral nerves and muscles are bypassed, thereby enabling control of a computer by a person with no motor control. The brain signals, known as electroencephalographs (EEGs), are recorded by electrodes placed on the surface of the scalp. A requirement for a successful BCI is that interfering artifacts are removed from the EEGs, so that thereby the important cognitive information is revealed. Two systems based on second order blind source s

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Shenoy, Pradeep. "Brain-computer interfaces for control and computation /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/6898.

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ESPOSITO, ANTONIO. "Instrumentation for daily-life brain-computer interfaces." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2960757.

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22

Petrucci, Maila. "Sistemi Brain Computer Interface: dalla macchina al paziente." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10137/.

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C’è un crescente interesse nella comunità scientifica per l’applicazione delle tecniche della bioingegneria nel campo delle interfacce fra cervello e computer. Questo interesse nasce dal fatto che in Europa ci sono almeno 300.000 persone con paralisi agli arti inferiori, con una età media piuttosto bassa (31 anni), registrandosi circa 5.000 nuovi casi ogni anno, in maggioranza dovuti ad incidenti automobilistici. Tali lesioni traumatiche spinali inducono delle disfunzioni sensoriali a causa dell’interruzione tra gli arti e i centri sopraspinali. Per far fronte a questi problemi gli scienziati

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Sicbaldi, Marcello. "Brain-Computer Interface per riabilitazione motoria e cognitiva." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18556/.

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Pazienti con lesioni cerebrali o spinali possono essere affetti da gravi deficit nelle funzioni sensoriali, motorie e comunicative; sono perciò sempre più necessarie tecniche di riabilitazione avanzate, personalizzate e adattative, per limitare i deficit insorti e restituire al paziente una vita il più normale possibile. Negli ultimi decenni, numerosi gruppi di ricerca hanno sviluppato Brain-Computer Interface (BCI) basate sul segnale elettroencefalografico (EEG) con l’obbiettivo di fornire mezzi di comunicazione o riabilitazione motoria funzionale. Tuttavia, le tecnologie BCI hanno un ampio p

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Dornhege, Guido. "Increasing information transfer rates for brain-computer interfacing." Phd thesis, [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=98051276X.

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Bashashati, Hossein. "A user-customized self-paced brain computer interface." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/61248.

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Much attention has been directed towards synchronous Brain Computer Interfaces (BCIs). For these BCIs, the user can only operate the system during specific system-defined periods. Self-paced BCIs, however, allow users to operate the system at any time he/she wishes. The classification of Electroencephalography (EEG) signals in self-paced BCIs is extremely challenging, as the BCI system does not have any clue about the start time of a control task. Also, the data contains a large number of periods during which the user has no intention to control the BCI. For sensory motor self-paced BCIs (fo

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Valbuena, Varon Diana Alexandra [Verfasser]. "Practical Brain Computer Interfacing / Diana Alexandra Valbuena Varon." München : Verlag Dr. Hut, 2012. http://d-nb.info/1029399751/34.

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Valsan, Gopal. "Brain computer interface using detection of movement intention." Thesis, University of Strathclyde, 2007. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=23482.

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28

Huang, Dandan. "Electroencephalography (EEG)-based brain computer interfaces for rehabilitation." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2761.

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Objective: Brain-computer interface (BCI) technologies have been the subject of study for the past decades to help restore functions for people with severe motor disabilities and to improve their quality of life. BCI research can be generally categorized by control signals (invasive/non-invasive) or applications (e.g. neuroprosthetics/brain-actuated wheelchairs), and efforts have been devoted to better understand the characteristics and possible uses of brain signals. The purpose of this research is to explore the feasibility of a non-invasive BCI system with the combination of unique sensorim

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Osuagwu, Bethel Chikadibia A. "Neurorehabilitation of hand functions using brain computer interface." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/7245/.

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Introduction: Brain computer interface (BCI) is a promising new technology with possible application in neurorehabilitation after spinal cord injury. Movement imagination or attempted movement-based BCI coupled with functional electrical stimulation (FES) enables the simultaneous activation of the motor cortices and the muscles they control. When using the BCI- coupled with FES (known as BCI-FES), the subject activates the motor cortex using attempted movement or movement imagination of a limb. The BCI system detects the motor cortex activation and activates the FES attached to the muscles of

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Grosse-Wentrup, Moritz. "Feature extraction in non-invasive brain-computer interfaces." kostenfrei, 2008. http://mediatum2.ub.tum.de/doc/649232/649232.pdf.

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González, Astudillo Juliana. "Development of Network Features for Brain-Computer Interfaces." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS286.

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Une interface cerveau-machine (ICM) est un système capable de traduire les modèles d’activité cérébrale en messages pour une application. Il permet à un sujet d’envoyer des commandes à un appareil à travers l’activité cérébrale, sans nécessiter d’activité musculaire périphérique. Ces systèmes sont de plus en plus explorés pour le contrôle et la communication, ainsi que pour le traitement des troubles neurologiques, notamment via la capacité des sujets à moduler volontairement leur activité cérébrale grâce à l’imagerie mentale (IM). Pour contrôler une ICM, l’utilisateur doit produire différents

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Nazarpour, Kianoush. "Brain signal analysis in space-time-frequency domain : an application to brain computer interfacing." Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54718/.

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In this dissertation, advanced methods for electroencephalogram (EEG) signal analysis in the space-time-frequency (STF) domain with applications to eye-blink (EB) artifact removal and brain computer interfacing (BCI) are developed. The two methods for EB artifact removal from EEGs are presented which respectively include the estimated spatial signatures of the EB artifacts into the signal extraction and the robust beamforming frameworks. In the developed signal extraction algorithm, the EB artifacts are extracted as uncorrelated signals from EEGs. The algorithm utilizes the spatial signatures

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Évain, Andéol. "Optimizing the use of SSVEP-based brain-computer interfaces for human-computer interaction." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S083/document.

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Cette thèse porte sur la conception et l'évaluation de systèmes interactifs utilisant des interfaces cerveau-machine (BCI pour Brain-Computer Interfaces). Ce type d'interfaces s'est développé dans les années récentes tout d'abord dans le domaine du handicap, afin de fournir aux grands handicapés des moyens d'interaction et de communication, et plus récemment dans d'autres domaines comme celui des jeux vidéo. Néanmoins, la plupart des travaux ont porté sur l'identification des signaux du cerveau susceptibles de porter une information utile, et sur les traitements nécessaires à l'extraction de c

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Bostanov, Vladimir. "Event related brain potentials in emotion perception research, individual cognitive assessment, and brain computer interfaces." [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971863164.

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Duncan, Alexander A. "EEG pattern classification for the brain-computer musical interface." Thesis, University of Glasgow, 2001. http://theses.gla.ac.uk/3709/.

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Polak, Mark John. "Adaptive logic networks in a brain-computer interface system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0012/NQ59652.pdf.

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McCreadie, Karl A. "Musical spacialised auditory feedback for a brain-computer interface." Thesis, Ulster University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633652.

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A brain-computer interface (BCI) offers an alternative method of communication and control for those who have suffered neuromuscular damage due to disease or injury. Imagined movement can be used to modulate the brain activity of an individual which may then be translated into a control signal which is regulated using sensory feedback. However, this feedback is predominantly presented visually and excludes those with a disability coupled with vision problems, a typical BCI beneficiary target group. Presenting feedback using an alternative sensory pathway, such as hearing, can allow for a more

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Clanton, Samuel T. "Brain-Computer Interface Control of an Anthropomorphic Robotic Arm." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/170.

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This thesis describes a brain-computer interface (BCI) system that was developed to allow direct cortical control of 7 active degrees of freedom in a robotic arm. Two monkeys with chronic microelectrode implants in their motor cortices were able to use the arm to complete an oriented grasping task under brain control. This BCI system was created as a clinical prototype to exhibit (1) simultaneous decoding of cortical signals for control of the 3-D translation, 3-D rotation, and 1-D finger aperture of a robotic arm and hand, (2) methods for constructing cortical signal decoding models based on

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Henshaw, James. "Improved brain-computer interface methods with application to gaming." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/20761/.

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Brain-computer interfaces (BCIs) are real-time communication systems which bridge the gap between human and machine, extracting useful neural signals from the brain and converting them into commands which allow the user to interact with computers or devices using their thoughts. BCIs have a wide range of applications, including gaming, research and entertainment. And they can also be used as part of an assistive device for disabled users. This PhD thesis focuses on two BCI types: the steady-state visually evoked potential (SSVEP) BCI, which is operated using gaze control, and the motor imagery

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Valeriani, D. "Improving group decision making with collaborative brain-computer interfaces." Thesis, University of Essex, 2017. http://repository.essex.ac.uk/19981/.

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Groups are generally superior to individuals in making decisions. However, time constraints and authoritarian leaders could nullify the potential advantages provided by groups. This thesis proposes a hybrid collaborative Brain-Computer Interface (cBCI) for improving performance in group decision-making. Neural signals recorded via electroencephalography are integrated with other physiological and behavioural measures to predict the likelihood of the user being correct in a decision, i.e., decision confidence. Behavioural responses from multiple users are then weighed according to these confide

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Zubovych, A. D. "Is the Computer a Good Model for the Brain?" Thesis, Київський національний університет технологій та дизайну, 2017. https://er.knutd.edu.ua/handle/123456789/8388.

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Bhalotiya, Anuj Arun. "Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984122/.

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In recent years, brain computer interfaces (BCIs) have gained popularity in non-medical domains such as the gaming, entertainment, personal health, and marketing industries. A growing number of companies offer various inexpensive consumer grade BCIs and some of these companies have recently introduced the concept of BCI "App stores" in order to facilitate the expansion of BCI applications and provide software development kits (SDKs) for other developers to create new applications for their devices. The BCI applications access to users' unique brainwave signals, which consequently allows them t

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Häggbom, Marcus, and Magnus Sönnerlind. "Training Session Duration Analysis of a Brain-Computer Interface." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211570.

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A brain-computer interface (BCI) allows patients with reduced motor abilities to interact with a computer using recordings of the brain’s electrical activity. One such method of recording is electroencephalography (EEG), a method commonly used in BCI research. A BCI is trained by a subject in often tedious sessions. In this study, the possibility of reducing the length of these sessions was investigated. Support vector machines (SVM) were trained with increasingly large parts of the session data sets and the classification accuracy was analyzed. Results showed patterns of peaks and stabilizati

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Duarte, Rafael Mendes. "Low cost brain computer interface system for ar.drone control." reponame:Repositório Institucional da UFSC, 2017. https://repositorio.ufsc.br/xmlui/handle/123456789/180243.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2017.<br>Made available in DSpace on 2017-10-17T03:23:26Z (GMT). No. of bitstreams: 1 348502.pdf: 5350635 bytes, checksum: fb05177813d42ef5ccadb6bda5c71fc7 (MD5) Previous issue date: 2017<br>Abstract : This work presents the design, implementation, and testing of a Brain-Computer Interface (BCI) system based on µ-waves to control the navigation of a drone. BCI systems perform the translation of brain signals into commands to comm

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Arico', Pietro <1985&gt. "Mental states monitoring through passive Brain-Computer Interface systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6557/4/aric%C3%B2_pietro_tesi.pdf.

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The monitoring of cognitive functions aims at gaining information about the current cognitive state of the user by decoding brain signals. In recent years, this approach allowed to acquire valuable information about the cognitive aspects regarding the interaction of humans with external world. From this consideration, researchers started to consider passive application of brain–computer interface (BCI) in order to provide a novel input modality for technical systems solely based on brain activity. The objective of this thesis is to demonstrate how the passive Brain Computer Interfaces (BCIs) a

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Arico', Pietro <1985&gt. "Mental states monitoring through passive Brain-Computer Interface systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6557/.

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The monitoring of cognitive functions aims at gaining information about the current cognitive state of the user by decoding brain signals. In recent years, this approach allowed to acquire valuable information about the cognitive aspects regarding the interaction of humans with external world. From this consideration, researchers started to consider passive application of brain–computer interface (BCI) in order to provide a novel input modality for technical systems solely based on brain activity. The objective of this thesis is to demonstrate how the passive Brain Computer Interfaces (BCIs) a

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Mondini, Valeria <1990&gt. "EEG-based Brain-Computer Interfaces for neurorehabilitation and control." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/9054/1/valeriamondini_phd_tesis.pdf.

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The research fieldof this dissertation are noninvasive, electroencephalography (EEG)-based, Brain-Computer Interfaces (BCIs), and their use for neurorehabilitation and control purposes.Brain-Computer Interfaces are systems enabling a straightforwardcommunication between the brain and the outside, by recording the neural activity and directly translating it into control signals for a particulardevice(likea robotic arm, a machine, or a computer).Given their independence from thenaturalneuromuscularpathways, BCIs are envisioned as tools to restore communication and contro

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Boldeanu, Silvia. "Merging brain-computer interfaces and virtual reality : A neuroscientific exploration." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15774.

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Brain-computer interfaces (BCIs) blend methods and concepts researched by cognitive neuroscience, electrophysiology, computer science and engineering, resulting in systems of bi-directional information exchange directly between brain and computer. BCIs contribute to medical applications that restore communication and mobility for disabled patients and provide new forms of sending information to devices for enhancement and entertainment. Virtual reality (VR) introduces humans into a computer-generated world, tackling immersion and involvement. VR technology extends the classical multimedia expe

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Faccani, Lara. "Analisi delle caratteristiche di dispositivi per il brain computer interface." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8851/.

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La brain computer interface sono state create per sopperire ai problemi motori e di linguistica nei pazienti che, a causa di malattie neurodegenerative o in seguito a traumi, sono paralizzate o non riescono a parlare. Vengono prese in questione le caratteristiche di un sistema per le BCI analizzando ogni blocco funzionale del sistema. Si fa visione delle applicazioni tra le quali la possibilità di far muovere un arto bionico a una donna tetraplegica e la possibilità di far scrivere una parola su uno schermo a un paziente non in grado di comunicare verbalmente. Si mettono in luce i problemi ann

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Mattiaccia, Francesca. "Brain Computer Interface: una nuova tecnologia per la medicina riabilitativa." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19014/.

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La Brain Computer Interface (BCI) è una delle nuove tecnologie che si sta diffondendo negli ultimi anni con nuove ricerche e nuove applicazioni. La ricerca è continua e sempre con l'obiettivo di rendere la BCI uno strumento a disposizione di tutti e applicabile in molti contesti sfruttando la capacità di adattamento del dispositivo. In questo lavoro è stata fatta una prima introduzione alla struttura, alle caratteristiche di acquisizione e gestione del segnale e alle diverse tipologie di BCI oggi a disposizione; successivamente si è focalizzata l'attenzione sulle più recenti applicazioni e in

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