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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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Skidmore, Trent A. "The electroencephalographic human-computer interface." Ohio : Ohio University, 1991. http://www.ohiolink.edu/etd/view.cgi?ohiou1173327705.

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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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Lachman, Richard W. 1972. "Animist interface : experiments in mapping character animation to computer interface." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/61831.

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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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Kaanta, Bradley C. (Bradley Carter) 1980. "PINS : a haptic computer interface system." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28419.

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Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (p. 73-74).<br>The research goal was to develop a dense array of discreet vertical actuators as an input and output device with haptic feedback for Human Computer Interaction (HCI). This expands upon the current research of table surfaces as medium for HCI by adding a third dimension that both a user and a computer can control. The use of vertical actuation makes possible new kinds of physical interactions with virtual objects and
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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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Oates, Shawn P. "CHILD-COMPUTER INTERACTION: EXPLORING INTERFACE DESIGN." Miami University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=miami1133800774.

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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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Devi, M. K. Sowmia Agrawal Prathima. "Interface selection in multi-interface mobile devices." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Summer/Theses/MYLAPORE_KRISHNA_8.pdf.

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Moore, Melody M. "User interface reengineering." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/12899.

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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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Manzaneda, Martin. "Natural Language Interface Technology in Computer Games." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166647.

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This project delivers the results of research about the implementation of natural language interfaces (NLIs) on computer games. We will study how to combine these concepts, making a small game and evaluating different methods to achieve this.
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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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Wallace, Michael D. "METIS : a human-computer interface design methodology." Thesis, University of Ulster, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261053.

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Fergle, Ronald. "Improving the computer interface in architectural education." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/79944.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1986.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH<br>Includes bibliographical references (leaves 73-74).<br>The influence of the computer is increasing within the architectural profession. One aspect of this is the growing use of microcomputer programs in architectural education. Many of these programs have their roots in the engineering disciplines, and therefore their procedural methodology may no t be compatible with the architectural design process. In addition to this, most of the programs used in the univ
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Ellis, Loftie. "Human-computer interface using a web camera." Thesis, Stellenbosch : University of Stellenbosch, 2007. http://hdl.handle.net/10019.1/1988.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007.<br>In this thesis we present a human-computer interface (HCI) system for disabled persons using only a basic web camera. Mouse movements are simulated by small movements of the head, while clicks are simulated by eye blinks. In this study, a system capable of face tracking, eye detection (including iris detection), blink detection and finally skin detection and face recognition has been developed. A detection method based on Haar-like features are used to detect the face and eyes. Once the eyes hav
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Bonari, Jacopo. "Novel interface discretisation methods for contact mechanics." Thesis, IMT Alti Studi Lucca, 2021. http://e-theses.imtlucca.it/326/1/Bonari_phdthesis.pdf.

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This thesis’ main scope is the presentation of two different methodologies for the analysis of contact problems involving morphologically complex or rough surfaces. Both approaches rely on the Finite Element Method (FEM) as the chosen computational framework. They hinge on the definition of an interface finite element used to model the space encompassed by two solids incontact. This kind of interface element is shared with the field of non-linear fracture mechanics, employed for the simulation of non-linear crack growth according to Cohesive Zone Model (CZM). Here, for the first time, th
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Murdoch, Michael J. "Nonverbal vocal interface /." Link to online version, 2006. https://ritdml.rit.edu/dspace/handle/1850/10346.

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Metais, Thierry. "A dynamic gesture interface." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/26983.

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Technological advancements during the last years made three dimensional virtual environments ubiquious computer applications. The traditional input devices such as keyboards and mice have reached their limits for they are no longer intuitive to manage 3 dimensional interactions. During the last decades, digital gloves were invented in an attempt to capture hand gestures. The work presented in this thesis is about recognizing hand shape based gestures for virtual environment navigation. We addressed this issue in two steps: first, we look for gesture representations that would allow a good disc
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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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Yang, Grant. "WIMP and Beyond: The Origins, Evolution, and Awaited Future of User Interface Design." Scholarship @ Claremont, 2015. http://scholarship.claremont.edu/cmc_theses/1126.

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The field of computer user interface design is rapidly changing and diversifying as new devices are developed every day. Technology has risen to become an integral part of life for people of all ages around the world. Modern life as we know it depends on computers, and understanding the interfaces through which we communicate with them is critically important in an increasingly digital age. The first part of this paper examines the technological origins and historical background driving the development of graphical user interfaces from its earliest incarnations to today. Hardware advancements
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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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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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Peterman, Robert B. "Exploring the human computer interface and photic driving." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA362006.

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Thesis (M.S. in Computer Science) Naval Postgraduate School, March 1999.<br>"March 1999". Thesis advisor(s): Timothy J. Shimeall. Appendix D is located in Restricted Resource Service. Includes bibliographical references (p. 95-96). Also available online.
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Bernard, Arnaud Jean Marc. "Human computer interface based on hand gesture recognition." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/42748.

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With the improvement of multimedia technologies such as broadband-enabled HDTV, video on demand and internet TV, the computer and the TV are merging to become a single device. Moreover the previously cited technologies as well as DVD or Blu-ray can provide menu navigation and interactive content. The growing interest in video conferencing led to the integration of the webcam in different devices such as laptop, cell phones and even the TV set. Our approach is to directly use an embedded webcam to remotely control a TV set using hand gestures. Using specific gestures, a user is able to control
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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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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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Warne, Mark Robert. "Computer simulation of molecules at the kaolinite interface." Thesis, University of Bristol, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322604.

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Srinivasan, Sukumar. "Evolution of a Computer Aided Project Management Interface." The University of Arizona, 1992. http://hdl.handle.net/10150/555289.

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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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Johansson, Bo. "Generellt interface till Javadoc." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-57.

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<p>Syftet med detta arbete var att undersöka möjligheten att få ett väl fungerande interface mellan ©VizzAnalyzer [3] och Javadoc, och därmed kunna producera htmldokumentation av de analyserade klasserna. VizzAnalyzer analyserar javaprogram och producerar därvid ett abstrakt syntaxträd (AST) som representerar det analyserade programmet. Detta AST kan sedan kopplas till javadocs interna AST-modell för att representera de klasser som förekommer vid analysen. Resultatet av detta blir då en komplett dokumentation av de analyserade klasserna. Det finns även möjligheter att dynamiskt lägga in ytterl
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Olatidoye, Olugbemiga A. "Design-oriented graphic-user-interface." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/23110.

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Dillon, Andrew. "User interface design." London: Macmillan, 2003. http://hdl.handle.net/10150/105299.

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This item is not the definitive copy. Please use the following citation when referencing this material: Dillon, A. (2003) User Interface Design. MacMillan Encyclopedia of Cognitive Science, Vol. 4, London:MacMillan, 453-458. Article definition: This article covers the basic issues that the field of cognitive science raises in the design and testing of new digital technologies for human use. Contents list: Introduction, Cognitive Science and design, The Basics of Human-Computer Interaction, Cognitive Design Guidelines: from psychophysics to semiotics, Beyond guidelines Cognitive theories and mo
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Li, Bin. "An interface between single assignment C and vector pascal." Connect to e-thesis, 2007. http://theses.gla.ac.uk/107/.

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Thesis (Ph.D.) - University of Glasgow, 2007.<br>Ph.D. thesis submitted to the Department of Computing Science, Faculty of Information and Mathematical Sciences, University of Glasgow, 2007. Includes bibliographical references. Print version also available.
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Hecker, Gabriele A. "A non-normal form database interface." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9917.

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Uther, James Bryant. "A Boxer architecture and interface." Thesis, The University of Sydney, 1993. https://hdl.handle.net/2123/26828.

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The Boxer computational environment shows great promise not just as a teaching tool, but as a ubiquitous computational medium. To date, research into Boxer has concentrated mainly on the social impact of such a media, while less effort has been expended on the implementation or interface aspects of the project. This thesis outlines a possible architecture for a new implementation of Boxer, taking advantage of some fields of computer science that have matured over the last decade. Also, a new user interface for Boxer has been developed with the intention of providing easier access to Boxer f
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Altiero, Roberto A. "Digital Forensics Tool Interface Visualization." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/24.

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Recent trends show digital devices utilized with increasing frequency in most crimes committed. Investigating crime involving these devices is labor-intensive for the practitioner applying digital forensics tools that present possible evidence with results displayed in tabular lists for manual review. This research investigates how enhanced digital forensics tool interface visualization techniques can be shown to improve the investigator's cognitive capacities to discover criminal evidence more efficiently. This paper presents visualization graphs and contrasts their properties with the output
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BRATT, JESPER, and ALEXANDER WILCZEK. "USAR-Robot Interface Evaluation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136299.

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Urban Search And Rescue (USAR) is something that is utilized more frequently in modern society due to the advancements made in the robotics field. Being able to use a robot to search for survivors in urban environments after disasters is invaluable. The fact that robots are able to endure hazardous areas significantly reduces response times when searching for survivors, and, in turn increasing chances of finding and rescuing victims. A major contribution to why robots have yet to dominate USAR is the fact that the robot interfaces have not evolved at the same pace that the robots have. Being a
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Hohmann, Sandra. "Mensch - Maschine - Interface : Studien zu einer Theorie der Mensch-Computer-Interaktion / Men - Machine - Interface : Studies towards a theory of human-computer-interaction." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=968823734.

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Palivela, Yaswanth. "Speech Assisted Interface for Quadcopter Flight Control." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1526247041269609.

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Carlsson, Ulla. "A general interface for computer control in real time." Thesis, University West, Department of Technology, Mathematics and Computer Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-388.

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Genc, Serkan. "Vision-based Hand Interface Systems In Human Computer Interaction." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611700/index.pdf.

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People began to interact with their own environment since their birth. Their main organs to sense their surroundings are their hands, and this is the most natural way of interaction in human-human interactions. The goal of this dissertation is to enable users to employ their hands in interaction with computers similar to human-human interaction. Using hands in the computer interaction increases both the naturalness of computer usage and the speed of interaction. One way of accomplishing this goal is to utilize computer vision methods to develop hand interfaces. In this study, a regular, low-co
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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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