Relevant bibliographies by topics / Computer interface

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computer interface'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Computer interface"

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Vanshi, Sharma. "Brain Computer Interface." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 464–73. https://doi.org/10.35940/ijeat.F1609.089620.

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Computer Technology is advancing day by day and with that it has led to the idea of Brain Computer interaction. Modern computers are advancing parallelly to our understanding of the human brain. This paper basically deals with the technology of BCI (Brain Computer Interface) that can capture brain signals and translate these signals into commands that will allow humans to control devices just by thinking. These devices can be robots, computers or virtual reality environment. The basis of BCI is a pathway connecting the brain and an external device. The aim is to assist, augment or repair human
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Vadza, Kejal Chintan. "Brain Gate & Brain Computer Interface." International Journal of Scientific Research 2, no. 5 (2012): 45–49. http://dx.doi.org/10.15373/22778179/may2013/19.

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Bhansali, Aayush, Shivani Vhatkar, Shamoil Arsiwala, Aditi Srivastava, and M. K Nivangune. "Human Computer Interface for Physically Impaired." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 1017–20. https://doi.org/10.21275/sr21614115725.

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BABUŠIAK, Branko, and Martin KNOCIK. "BIO-AMPLIFIER FOR BRAIN COMPUTER INTERFACE." Acta Electrotechnica et Informatica 14, no. 3 (2014): 11–15. http://dx.doi.org/10.15546/aeei-2014-0022.

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Bartz, Christina. "Der Computer in der Küche." Zeitschrift für Medien- und Kulturforschung 9, no. 2 (2018): 13–26. http://dx.doi.org/10.28937/1000108172.

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Der Honeywell Kitchen Computer von 1969 ist einer der ersten Rechner, der für den Heimgebrauch hergestellt wurde. Schon allein aufgrund seines wenig benutzerfreundlichen Interfaces, das im Widerspruch zur nicht-professionellen Nutzung in der häuslichen Sphäre steht, stellt er eine Kuriosität dar. Zugleich weist er Aspekte auf, die die Idee eines Computers zu Hause plausibilisieren. Dazu gehört u.a. die Gestaltung des Interfaces, aber auch die Küche als Ort der heimischen Arbeit. In 1969, the Honeywell Kitchen Computer was the first data processor that was built explicitly for home use. Resembl
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Williams, Evelyn, and Evelyn Hewlett-Packard. "Panel on Visual Interface Design." Proceedings of the Human Factors Society Annual Meeting 33, no. 5 (1989): 323–24. http://dx.doi.org/10.1177/154193128903300519.

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User interface design has many components. Usable computer interfaces should be easy to learn, result in high user productivity and high user satisfaction. There are a number of components in user interface design that affect the usability of the interface. Within the human factors community we tend to emphasize the ergonomic and cognitive components of the computer interface. There is another component that is frequently ignored, the visual interface design. This panel will present information on the visual component in various user-computer interfaces and will discuss the contributions of th
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Zhang, Ruoyao. "Enhancing Human-Computer Interaction through Brain-Computer Interface: Technological Advances." Applied and Computational Engineering 145, no. 1 (2025): 170–75. https://doi.org/10.54254/2755-2721/2025.22240.

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Brain-Computer Interface (BCI) has gained significant attention due to its potential to transform human-computer interaction (HCI), especially through non-invasive methods like electroencephalography (EEG). This essay explores the fundamental principles of non-invasive BCIs, focusing on EEG-based signal acquisition, preprocessing, and decoding techniques. It examines the role of various machine learning and deep learning algorithms in enhancing the accuracy and efficiency of neural signal interpretation, including supervised learning, unsupervised learning, CNN, RNN, and transformers. These ke
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Li, Jiayi. "Brain-computer interface for the treatment of mental illness." Theoretical and Natural Science 16, no. 1 (2023): 93–96. http://dx.doi.org/10.54254/2753-8818/16/20240539.

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A brain-computer interface is a direct communication channel between the brain and external devices. Its signals come from the central nervous system, and its transmission is independent of the peripheral nervous and muscular systems. Brain-computer interface commonly used to assist, enhance, and repair human-motor sensations. Through the classification and recognition of Electroencephalogram (EEG) signals, the monitoring and rehabilitation of some neurological and psychological diseases can be realized. Brain-computer interfaces are currently in their infancy and are being explored. Non-invas
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MANARIS, BILL Z. "AN ENGINEERING ENVIRONMENT FOR NATURAL LANGUAGE INTERFACES TO INTERACTIVE COMPUTER SYSTEMS." International Journal on Artificial Intelligence Tools 03, no. 04 (1994): 557–79. http://dx.doi.org/10.1142/s0218213094000303.

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This paper discusses the development of natural language interfaces to interactive computer systems using the NALIGE user interface management system. The task of engineering such interfaces is reduced to producing a set of well-formed specifications which describe lexical, syntactic, semantic, and pragmatic aspects of the selected application domain. These specifications are converted by NALIGE to an autonomous natural language interface that exhibits the prescribed linguistic and functional behavior. Development of several applications is presented to demonstrate how NALIGE and the associate
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Hix, Deborah. "Assessment of an Interactive Environment for Developing Human-Computer Interfaces." Proceedings of the Human Factors Society Annual Meeting 30, no. 14 (1986): 1349–53. http://dx.doi.org/10.1177/154193128603001401.

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The goal of this research was to empirically evaluate the usefulness of an interactive environment for developing human-computer interfaces. In particular, it focused on a set of interactive tools, called the Author's Interactive Dialogue Environment (AIDE), for human-computer interface implementation. AIDE is used by an interface design specialist, called a dialogue author, to implement an interface by directly manipulating and defining its objects, rather than by the traditional method of writing source code. In a controlled experiment, a group of dialogue author subjects used AIDE 1.0 to im
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Dissertations / Theses on the topic "Computer interface"

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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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Books on the topic "Computer interface"

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Sutcliffe, Alistair. Human-computer interface design. Macmillan Education, 1988.

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Guger, Christoph, Brendan Z. Allison, and Michael Tangermann, eds. Brain-Computer Interface Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60460-8.

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Guger, Christoph, Brendan Z. Allison, and Aysegul Gunduz, eds. Brain-Computer Interface Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79287-9.

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Guger, Christoph, Brendan Allison, and Mikhail Lebedev, eds. Brain-Computer Interface Research. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64373-1.

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Guger, Christoph, Natalie Mrachacz-Kersting, and Brendan Z. Allison, eds. Brain-Computer Interface Research. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05668-1.

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Guger, Christoph, Theresa Vaughan, and Brendan Allison, eds. Brain-Computer Interface Research. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09979-8.

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Guger, Christoph, Brendan Z. Allison, and Günter Edlinger, eds. Brain-Computer Interface Research. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36083-1.

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Sutcliffe, Alistair. Human-Computer Interface Design. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4899-6749-7.

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Guger, Christoph, Brendan Z. Allison, and Kai Miller, eds. Brain–Computer Interface Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49583-1.

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Guger, Christoph, Gernot Müller-Putz, and Brendan Allison, eds. Brain-Computer Interface Research. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25190-5.

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Book chapters on the topic "Computer interface"

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Weik, Martin H. "host computer interface." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8477.

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Weik, Martin H. "user-computer interface." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_20570.

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Gunkel, David J. "Brain–Computer Interface." In Reimagining Communication: Mediation. Routledge, 2020. http://dx.doi.org/10.4324/9781351015431-19.

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Zhijun, Zhang. "Brain-Computer Interface." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_710-1.

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Park, Kwang Suk. "Brain-Computer Interface." In Humans and Electricity. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20784-6_10.

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Nam, Chang S., Inchul Choi, Amy Wadeson, and Mincheol Whang. "Brain–Computer Interface." In Brain–Computer Interfaces Handbook. CRC Press, 2018. http://dx.doi.org/10.1201/9781351231954-1.

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Majumdar, Kaushik. "Brain–Computer Interface." In A Brief Survey of Quantitative EEG. CRC Press, 2017. http://dx.doi.org/10.1201/9781315117256-7.

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Mukherjee, Abhishek, Madhurima Gupta, and Shampa Sen. "Brain–Computer Interface." In Machine Learning and IoT. CRC Press, 2018. http://dx.doi.org/10.1201/9781351029940-16.

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Sengar, Prashant, and Shawli Bardhan. "Brain–Computer Interface." In Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications. CRC Press, 2022. http://dx.doi.org/10.1201/9781003226147-2.

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Hubbold, Roger. "Human-Computer Interface." In Scientific Visualization. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76942-9_5.

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Conference papers on the topic "Computer interface"

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Botrous, M., K. Badr, T. Ierardi, and A. Zaitsev. "Human Computer Interface." In 2025 Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2025. https://doi.org/10.1109/sieds65500.2025.11021097.

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R, Sowmiya, Revathi P, Ragunath D, S. Sindhuja, Gokila P, and Kalaivani T. "Multi-Modal LLM Driven Computer Interface." In 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2024. http://dx.doi.org/10.1109/i-smac61858.2024.10714846.

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Alexandru, Mitocaru, Buzamat Alexandru, Poboroniuc Marian-Silviu, Irimia Danut Constantin, and Baciu Alina Georgiana. "Brain Computer Interface Controlled Humanoid Robot." In 2024 E-Health and Bioengineering Conference (EHB). IEEE, 2024. https://doi.org/10.1109/ehb64556.2024.10805718.

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Rakesh, S., Adarsh Shetkar, Piratla Gayatri, and Pranav Reddy. "A Review on Brain-Computer Interface." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007402.

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Park, Ji-Ha, Seo-Hyun Lee, Soowon Kim, and Seong-Whan Lee. "Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface." In 2025 13th International Conference on Brain-Computer Interface (BCI). IEEE, 2025. https://doi.org/10.1109/bci65088.2025.10931467.

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Li, Jiapeng, Wenzhen Kuang, Tao He, Yajie Li, and Yanpeng Wu. "OpenCV-based Recognition Method for Computer Interlocking Host Computer Interface." In 2025 IEEE 8th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2025. https://doi.org/10.1109/itoec63606.2025.10968399.

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Nawrocka, Agata, and Andrzej Kot. "Brain - computer interface." In 2012 13th International Carpathian Control Conference (ICCC). IEEE, 2012. http://dx.doi.org/10.1109/carpathiancc.2012.6228699.

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"Brain computer interface." In 2016 9th International Conference on Human System Interactions (HSI). IEEE, 2016. http://dx.doi.org/10.1109/hsi.2016.7529655.

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Jantz, Jay, Adam Molnar, and Ramses Alcaide. "A brain-computer interface for extended reality interfaces." In SIGGRAPH '17: Special Interest Group on Computer Graphics and Interactive Techniques Conference. ACM, 2017. http://dx.doi.org/10.1145/3089269.3089290.

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Plesca, Natalia. "Human-computer interaction and user interface development." In Conferința științifică națională cu participare internațională "Integrare prin cercetare și inovare", dedicată Zilei Internaționale a Științei pentru Pace și Dezvoltare. Moldova State University, 2025. https://doi.org/10.59295/spd2024n.104.

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Human-Computer Interaction (HCI) focuses on the design and use of computer technology, emphasizing the interfaces between people (users) and computers. Researchers in the field of HCI study how humans interact with computers and design technologies that let humans interact with computers in novel ways. The purpose of this article is to explore and analyze essential human-computer interaction (HCI) principles and methods for developing effective user interfaces. The methodology for developing this paper combines theoretical and practical approaches to provide a deep understanding of human-compu
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Reports on the topic "Computer interface"

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Shea, Thomas B. Optimization of Neuronal-Computer Interface. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada515409.

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Satran, J., K. Meth, C. Sapuntzakis, M. Chadalapaka, and E. Zeidner. Internet Small Computer Systems Interface (iSCSI). RFC Editor, 2004. http://dx.doi.org/10.17487/rfc3720.

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Gorczyca, John, and Eduardo Sanchez Villagran. Small computer system interface (SCSI) command system:. National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4023.

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Knee, H. (Man-machine interface of computer controlled reactors). Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5387979.

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Elliston, B. Encapsulating IP with the Small Computer System Interface. RFC Editor, 1997. http://dx.doi.org/10.17487/rfc2143.

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Campbell, Nancy, Glenn Osga, David Kellmeyer, Daniel Lulue, and Earl Williams. A Human-Computer Interface Vision for Naval Transformation. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada427415.

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Chadalapaka, M., J. Satran, K. Meth, and D. Black. Internet Small Computer System Interface (iSCSI) Protocol (Consolidated). RFC Editor, 2014. http://dx.doi.org/10.17487/rfc7143.

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Resnick, David Richard, and Mike Ignatowski. Proposing an Abstracted Interface and Protocol for Computer Systems. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1171427.

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Resnick, David Richard, and Mike Ignatowski. Proposing an Abstracted Interface and Protocol for Computer Systems. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1171432.

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Bakke, M., J. Hafner, J. Hufferd, K. Voruganti, and M. Krueger. Internet Small Computer Systems Interface (iSCSI) Naming and Discovery. RFC Editor, 2004. http://dx.doi.org/10.17487/rfc3721.

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