Log in

Relevant bibliographies by topics / BCI - Brain Computer Interface / Journal articles

To see the other types of publications on this topic, follow the link: BCI - Brain Computer Interface.

Journal articles on the topic 'BCI - Brain Computer Interface'

Author: Grafiati

Published: 5 September 2021

Last updated: 29 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'BCI - Brain Computer Interface.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Lu, Junshi, and Yujia Peng. "Brain-Computer Interface for Cyberpsychology." International Journal of Cyber Behavior, Psychology and Learning 4, no. 1 (2014): 1–14. http://dx.doi.org/10.4018/ijcbpl.2014010101.

Full text

Abstract:

As a new way of implementing human-computer interface, brain-computer interfaces (BCI) dramatically change the user experiences and have broad applications in cyber behavior research. This methodological review attempts to provide an overall picture of the BCI science and its role in cyberpsychology. After an introduction of BCI and the literature search methods used in this review, we offer an overview of terms, history, components, methods and signals used in BCI. Different applications of BCI on both the clinical population and the healthy population are summarized in detail, with a conclus

APA, Harvard, Vancouver, ISO, and other styles

2

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

3

Mridha, M. F., Sujoy Chandra Das, Muhammad Mohsin Kabir, Aklima Akter Lima, Md Rashedul Islam, and Yutaka Watanobe. "Brain-Computer Interface: Advancement and Challenges." Sensors 21, no. 17 (2021): 5746. http://dx.doi.org/10.3390/s21175746.

Full text

Abstract:

Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that covers the BCI domain completely has been conducted yet. Hence, a comprehensive overview of the BCI domain is presented in this study. This study covers several applications of BCI and upholds the significance of this domain. Then, each element of BCI systems, including techniques, datasets, feature extr

APA, Harvard, Vancouver, ISO, and other styles

4

Sreejith, S., M. Saminathan, K. Vishnu, and M. Vikash. "Advancements and Applications of Brain-Computer Interface Technology in Healthcare -A Review." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43406.

Full text

Abstract:

For centuries, scientists, academics, and engineers have been fascinated by the human brain, which is considered the most advanced organ. Exploration of the human brain's capacities and complexities is intriguing and exciting, stretching the limits of neuroscience and technology. Among the most noteworthy developments in this field is the creation of the Brain-Computer Interface (BCI) technology, which creates an amazing link between the human brain and machines or computers. The BCI system offers the possibility to connect with the human brain or thinking through technology, representing a so

APA, Harvard, Vancouver, ISO, and other styles

5

Rezeika, Aya, Mihaly Benda, Piotr Stawicki, Felix Gembler, Abdul Saboor, and Ivan Volosyak. "Brain–Computer Interface Spellers: A Review." Brain Sciences 8, no. 4 (2018): 57. http://dx.doi.org/10.3390/brainsci8040057.

Full text

Abstract:

A Brain–Computer Interface (BCI) provides a novel non-muscular communication method via brain signals. A BCI-speller can be considered as one of the first published BCI applications and has opened the gate for many advances in the field. Although many BCI-spellers have been developed during the last few decades, to our knowledge, no reviews have described the different spellers proposed and studied in this vital field. The presented speller systems are categorized according to major BCI paradigms: P300, steady-state visual evoked potential (SSVEP), and motor imagery (MI). Different BCI paradig

APA, Harvard, Vancouver, ISO, and other styles

6

Büyükgöze, Selma. "THE BRAIN-COMPUTER INTERFACE." International Conference on Technics, Technologies and Education, ICTTE 2019 (2019): 133–38. http://dx.doi.org/10.15547/ictte.2019.02.094.

Full text

Abstract:

The Brain-Computer Interface (BCI), defined as systems that allow people to use a computer, an electromechanical arm or various neuroprostheses without the use of motor nervous systems, is a communication pathway used to establish direct communication between the brain and a peripheral interface. The brain-computer interface is often used to help or repair human cognitive or sensory motor functions. However, with today's developing technology, it hasn’t only been used for this purpose and has started to be used in many different areas from advertising, to smart peripheral systems, to games, ev

APA, Harvard, Vancouver, ISO, and other styles

7

Korotenko, YA S., YU I. Yakymenko, A. O. Popov, YE S. Karplyuk, and M. A. Tsyparsʹkyy. "Electrooculographic brain-computer interface system." Electronics and Communications 16, no. 3 (2011): 162–66. http://dx.doi.org/10.20535/2312-1807.2011.16.3.266312.

Full text

Abstract:

Problems of brain-computer interface (BCI) systems construction are considered. The fundamentals of constructing BCI systems using the electrooculogram are presented. A method and software for determining eye rotation angle by a frequency-modulated electrooculographic signal processing are given

APA, Harvard, Vancouver, ISO, and other styles

8

Li, Shuangjie. "Brain-Computer Interface Technologies for Neurological Diseases." Highlights in Science, Engineering and Technology 36 (March 21, 2023): 593–97. http://dx.doi.org/10.54097/hset.v36i.5741.

Full text

Abstract:

A Brain-Computer Interface (BCI) is a device that monitors central nervous system (CNS) activity and transforms it into artificial output that can be used to replace, improve, supplement, or restore the natural CNS output. Brain-Computer Interface (BCI) technologies for neurological diseases are vital for the well-being of related patients. This paper presents 4 forms of BCI technologies used for neurological diseases: EEG-based BCI for the treatment of Attention Deficit Hyperactivity Disorder (ADHD), Neural Cursor and BCI Spellers for ALS patients, Seizure Prediction BCI for those with epilep

APA, Harvard, Vancouver, ISO, and other styles

9

Lebedev, M. A. "BRAIN-COMPUTER INTERFACE FOR THE AUGMENTATION OF BRAIN FUNCTIONS." Science and Innovations in Medicine 1, no. 3 (2016): 11–27. http://dx.doi.org/10.35693/2500-1388-2016-0-3-11-27.

Full text

Abstract:

Brain-computer interface (BCI) connects the nervous system departments with external devices for the purpose of recovery of motor and sensory functions of patients with neurological lesions. Over the past half-century BCI have gone from initial ideas to the high-tech modern incarnations. This development contributed significantly to the invasive techniques of multichannel registration activity of neuronal ensembles. Modern BCI are able to manage mechanical prosthetic arms and legs. Furthermore, BCI can provide sensory feedback, allowing the user to feel the movement of the prosthesis and its i

APA, Harvard, Vancouver, ISO, and other styles

10

Mouček, Roman, Lukáš Vařeka, Petr Brůha, and Pavel Šnejdar. "On applications of brain-computer interface." Acta Polytechnica CTU Proceedings 39 (December 15, 2022): 32–40. http://dx.doi.org/10.14311/app.2022.39.0032.

Full text

Abstract:

Brain-computer interface (BCI) applications implement a direct communication path between the brain and the computer. This paper deals with the fundamentals of BCI systems and the experience of the neuroinformatics team with the design and implementation of various BCI applications. Their advantages, drawbacks and suitability are discussed in multiple contexts.

APA, Harvard, Vancouver, ISO, and other styles

11

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

12

Choi, Woo-Sung, and Hong-Gi Yeom. "Studies to Overcome Brain–Computer Interface Challenges." Applied Sciences 12, no. 5 (2022): 2598. http://dx.doi.org/10.3390/app12052598.

Full text

Abstract:

A brain–computer interface (BCI) is a promising technology that can analyze brain signals and control a robot or computer according to a user’s intention. This paper introduces our studies to overcome the challenges of using BCIs in daily life. There are several methods to implement BCIs, such as sensorimotor rhythms (SMR), P300, and steady-state visually evoked potential (SSVEP). These methods have different pros and cons according to the BCI type. However, all these methods are limited in choice. Controlling the robot arm according to the intention enables BCI users can do various things. We

APA, Harvard, Vancouver, ISO, and other styles

13

Sushmitha, N., Sudarshan. B. G. Dr, and Ramakanth Kumar P. Dr. "A Complete Review of Brain Computer Interface." Advancement in Image Processing and Pattern Recognition 5, no. 1 (2022): 1–16. https://doi.org/10.5281/zenodo.6457523.

Full text

Abstract:

<em>The technology of Brain Computer Interface (BCI) is a rapidly growing research field with vast applications. BCI acts as a bridge between a human brain and the machine-like computer. The main purpose of BCI system is to enable the people with disability to interact with outside world. The electrical signals captured from the brain are processed to remove the noise and artifacts. The features of the processed signal are extracted, classified and later translated into the device commands in order to execute the intent of the user. This paper furnishes the basics of BCI, different ways of sig

APA, Harvard, Vancouver, ISO, and other styles

14

Wu, Yuchen. "Brain-Computer Interface-Progress and Prospects." E3S Web of Conferences 271 (2021): 04027. http://dx.doi.org/10.1051/e3sconf/202127104027.

Full text

Abstract:

Since the advent of Brain-Computer Interface (BCI), this technology has been significantly contributed modern society in many aspects such as medical and informational science. With further approaches in this interdisciplinary technology and based on current research, BCI is considered to be the potential solution to medical or surgical difficulties such as restoration of neurological function or motor abilities. In this article, the current state of BCI development in multiple platforms was briefly introduced. By organizing and analyzing laboratory data from the state-of-the-art BCI research,

APA, Harvard, Vancouver, ISO, and other styles

15

Marek, Derdzinski. "Control of the car model using brain computer interface." Studies and Materials in Applied Computer Science (ISSN 1689-6300) 10, no. 2 (2020): 17–23. https://doi.org/10.5281/zenodo.4321097.

Full text

Abstract:

This artilce aims at consctruction of the brain-computer interface (BCI) - based control system of the car model. Article decribes BCI's rules of operation and BCI applications in mechatronics, including interdisciplinary cognitive sciences. Further part of the article is focused on description of the model used in the research, particularly on BCI-Arduino cooperation. The last part of the article shows research on subjects aged 8-54 years concerning BCI use to control car model.

APA, Harvard, Vancouver, ISO, and other styles

16

GAI, Zunyue. "Brain-Computer Interface Technology Applications and the Redetermination of Criminal Responsibility." Academic Frontiers Publishing Group 1, no. 2 (2024): 51–61. https://doi.org/10.62989/jcls.2024.1.2.51.

Full text

Abstract:

脑机接口（BCI）技术在医疗康复等领域的应用引发了法律和伦理挑战，特别是对精神病人及盲聋哑人的刑事责任能力认定产生的影响，为了探讨这种影响，以我国刑法第18、19 条为依据结合法律分析,文献分析和伦理探讨，发现BCI 技术可能显著改善特殊群体的认知和行为控制能力，接受BCI 技术改造后的个体可能需要重新评估其刑事责任能力，不应简单适用传统的特殊群体认定标准，而应结合改造前后真实状况做出评估认定。此外，BCI 技术的失效或强制使用情况下的刑事责任认定需要综合考虑多个因素。需要更新刑法条款，明确BCI 技术影响下的刑事责任认定标准，建立技术评估机制，加强伦理审查，以适应科技进步带来的法律新问题，有效防范和控制其可能带来的犯罪风险。

APA, Harvard, Vancouver, ISO, and other styles

17

Lin, Liming. "Brain-computer interface technology for rehabilitation exoskeleton applications." Applied and Computational Engineering 31, no. 1 (2024): 19–28. http://dx.doi.org/10.54254/2755-2721/31/20230117.

Full text

Abstract:

In recent years, the development of brain-computer interface (BCI) and exoskeleton technology has received more and more attention. Brain-computer interface, a technology that allows the human brain to communicate with electronic devices or computer programs, has potential applications in sports rehabilitation for the disabled and smart home control. Exoskeleton technology, on the other hand, provides humans with enhanced movement and strength, offering new possibilities for improving the quality of life for people with mobility disorders. Several applications of brain-computer interface and e

APA, Harvard, Vancouver, ISO, and other styles

18

M. J., Arpitha, Binduja B., Jahnavi G., and Kusuma Mohanchandra. "Brain Computer Interface for Emergency Virtual Voice." International Journal of Artificial Intelligence 8, no. 1 (2021): 40–47. http://dx.doi.org/10.36079/lamintang.ijai-0801.222.

Full text

Abstract:

Brain computer interface (BCI) is one of the thriving emergent technology which acts as an interface between a brain and an external device. BCI for speech communication is acquiring recognition in various fields. Speech is one of the most natural ways to express thoughts and feelings by articulate vocal sounds. The purpose of this study is to restore communication ability of the people suffering from severe muscular disorders like amyotrophic lateral sclerosis (ALS), stroke which causes paralysis, locked-in syndrome, tetraplegia and Myasthenia gravis. They cannot interact with their environme

APA, Harvard, Vancouver, ISO, and other styles

19

Kauhanen, Laura, Pasi Jylänki, Janne Lehtonen, Pekka Rantanen, Hannu Alaranta, and Mikko Sams. "EEG-Based Brain-Computer Interface for Tetraplegics." Computational Intelligence and Neuroscience 2007 (2007): 1–11. http://dx.doi.org/10.1155/2007/23864.

Full text

Abstract:

Movement-disabled persons typically require a long practice time to learn how to use a brain-computer interface (BCI). Our aim was to develop a BCI which tetraplegic subjects could control only in 30 minutes. Six such subjects (level of injury C4-C5) operated a 6-channel EEG BCI. The task was to move a circle from the centre of the computer screen to its right or left side by attempting visually triggered right- or left-hand movements. During the training periods, the classifier was adapted to the user's EEG activity after each movement attempt in a supervised manner. Feedback of the performan

APA, Harvard, Vancouver, ISO, and other styles

20

Li, Yueyang. "Brain computer interface and its application in games for people with physical disability." Theoretical and Natural Science 20, no. 1 (2023): 103–7. http://dx.doi.org/10.54254/2753-8818/20/20230729.

Full text

Abstract:

This paper will investigate the fundamentals of the Brain-Computer Interface, including various kinds of implantable Neural Probes, materials used to construct neural probes, and essential methods to detect crucial electrical and chemical signals from brain structures to building well-behaved Brain-Computer Interfaces. Beyond that, this paper will delve deeper into the Brain-Computer Interface (BCI) and its application in the modern time game industry and look into the future perspectives of BCI for helping underrepresented groups that could not utilize traditional input devices.

APA, Harvard, Vancouver, ISO, and other styles

21

Kim, Do-Hyung, Hong Gi Yeom, Minjung Kim, et al. "Introduction of brain computer interface to neurologists." Annals of Clinical Neurophysiology 23, no. 2 (2021): 92–98. http://dx.doi.org/10.14253/acn.2021.23.2.92.

Full text

Abstract:

A brain-computer interface (BCI) is a technology that acquires and analyzes electrical signals from the brain to control external devices. BCI technologies can generally be used to control a computer cursor, limb orthosis, or word processing. This technology can also be used as a neurological rehabilitation tool for people with poor motor control. We reviewed historical attempts and methods toward predicting arm movements using brain waves. In addition, representative studies of minimally invasive and noninvasive BCI were summarized.

APA, Harvard, Vancouver, ISO, and other styles

22

Yang, Jinyi. "Challenges and Trends in Brain-Computer Interface Technology." Applied and Computational Engineering 152, no. 1 (2025): 16–22. https://doi.org/10.54254/2755-2721/2025.23006.

Full text

Abstract:

Brain-Computer Interface (BCI) technology has become one of the focal points of scientific research in the modern world. Researchers from all corners of the globe have made significant contributions to this field, driving the continuous advancement of BCI technology. By 2025, Brain-Computer Interface (BCI) technology has become a groundbreaking human-machine interaction technology, enabling communication between the human brain and the external world, no longer a fantasy from science fiction but a tangible reality. It has now been widely applied across numerous fields, including communication,

APA, Harvard, Vancouver, ISO, and other styles

23

Wang, Ruoqian. "Neural interface technology for human-computer interaction." E3S Web of Conferences 553 (2024): 05011. http://dx.doi.org/10.1051/e3sconf/202455305011.

Full text

Abstract:

The Brain-Computer Interface (BCI) is a highly promising way to establish a direct link between the human brain and external computerised apparatus, enabling individuals with severe disabilities to interact with their external environment. By harnessing BCI technology, these individuals can exert control over specific computerized devices, ranging from computers and wheelchairs to neural prosthetics, thus facilitating meaningful interaction with the world around them. However, while BCI technology holds immense potential, several aspects remain in conceptual stages or are constrained by specif

APA, Harvard, Vancouver, ISO, and other styles

24

Zheng, Yizhuo. "Application of brain-computer interface in rehabilitation medicine." Theoretical and Natural Science 21, no. 1 (2023): 146–50. http://dx.doi.org/10.54254/2753-8818/21/20230854.

Full text

Abstract:

A brain-computer interface (BCI) can realize the communication and control between the human brain and computers or other electrical equipment by electroencephalography. It is a novel kind of human2computer interface. BCIs will be applied in rehabilitation, control, and other fields. This paper introduces the working principle of BCIs. Some key techniques to design BCIs are discussed from these aspects: signal processing, device control methods, and signal feedback. Besides, the application of BCI in rehabilitation medicine is also discussed. Finally, some main problems and future trends are p

APA, Harvard, Vancouver, ISO, and other styles

25

Drigas, Athanasios, and Angeliki Sideraki. "Brain Neuroplasticity Leveraging Virtual Reality and Brain–Computer Interface Technologies." Sensors 24, no. 17 (2024): 5725. http://dx.doi.org/10.3390/s24175725.

Full text

Abstract:

This study explores neuroplasticity through the use of virtual reality (VR) and brain–computer interfaces (BCIs). Neuroplasticity is the brain’s ability to reorganize itself by forming new neural connections in response to learning, experience, and injury. VR offers a controlled environment to manipulate sensory inputs, while BCIs facilitate real-time monitoring and modulation of neural activity. By combining VR and BCI, researchers can stimulate specific brain regions, trigger neurochemical changes, and influence cognitive functions such as memory, perception, and motor skills. Key findings i

APA, Harvard, Vancouver, ISO, and other styles

26

Alharbi, Hadeel. "Identifying Thematics in a Brain-Computer Interface Research." Computational Intelligence and Neuroscience 2023 (January 4, 2023): 1–15. http://dx.doi.org/10.1155/2023/2793211.

Full text

Abstract:

This umbrella review is motivated to understand the shift in research themes on brain-computer interfacing (BCI) and it determined that a shift away from themes that focus on medical advancement and system development to applications that included education, marketing, gaming, safety, and security has occurred. The background of this review examined aspects of BCI categorisation, neuroimaging methods, brain control signal classification, applications, and ethics. The specific area of BCI software and hardware development was not examined. A search using One Search was undertaken and 92 BCI rev

APA, Harvard, Vancouver, ISO, and other styles

27

Krogmeier, Claudia, Esteban García Bravo, and Christos Mousas. "Using Experimental Filmmaking to Create an Engaging Brain-Computer Interface." Proceedings of the ACM on Computer Graphics and Interactive Techniques 6, no. 2 (2023): 1–10. http://dx.doi.org/10.1145/3597624.

Full text

Abstract:

Inspired by storytelling ideas in surrealist creative productions and experimental films, we created a brain-computer interface (BCI) designed to offer users an exercise of the imagination. While many previous BCIs have used simple visual interfaces, we wanted to understand if an open-ended, story-based BCI experience could be helpful for allowing users to effectively interact with the story using their brain activity. We employed experimental storytelling techniques to prompt users to explore new thought patterns and ideas for changing brain activity. In our BCI, users were able to change the

APA, Harvard, Vancouver, ISO, and other styles

28

Amiri, Setare, Reza Fazel-Rezai, and Vahid Asadpour. "A Review of Hybrid Brain-Computer Interface Systems." Advances in Human-Computer Interaction 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/187024.

Full text

Abstract:

Increasing number of research activities and different types of studies in brain-computer interface (BCI) systems show potential in this young research area. Research teams have studied features of different data acquisition techniques, brain activity patterns, feature extraction techniques, methods of classifications, and many other aspects of a BCI system. However, conventional BCIs have not become totally applicable, due to the lack of high accuracy, reliability, low information transfer rate, and user acceptability. A new approach to create a more reliable BCI that takes advantage of each

APA, Harvard, Vancouver, ISO, and other styles

29

Baek, Hyun Jae, Min Hye Chang, Jeong Heo, and Kwang Suk Park. "Enhancing the Usability of Brain-Computer Interface Systems." Computational Intelligence and Neuroscience 2019 (June 16, 2019): 1–12. http://dx.doi.org/10.1155/2019/5427154.

Full text

Abstract:

Brain-computer interfaces (BCIs) aim to enable people to interact with the external world through an alternative, nonmuscular communication channel that uses brain signal responses to complete specific cognitive tasks. BCIs have been growing rapidly during the past few years, with most of the BCI research focusing on system performance, such as improving accuracy or information transfer rate. Despite these advances, BCI research and development is still in its infancy and requires further consideration to significantly affect human experience in most real-world environments. This paper reviews

APA, Harvard, Vancouver, ISO, and other styles

30

Bagheri, Iman, Saeid Alizadeh, Mohammad Matin Ghazavi khorasgani, and Masoumeh Asgharighajari. "A Systematic Investigation Based on BCI and EEG Implemented using Machine Learning Algorithms." International journal of Modern Achievement in Science, Engineering and Technology 1, no. 4 (2024): 55–60. http://dx.doi.org/10.63053/ijset.45.

Full text

Abstract:

BCI is a strong tool that improves human-system communication. It improves the brain's ability to interact with its surroundings. Recent decades have seen substantial advances in neuroscience and computer science. This has made BCI a leader in computational neuroscience and intelligence research. Recent technological advances including wearable sensing devices, real-time data streaming, machine learning, and deep learning have raised the need for electroencephalographic (EEG)-based brain-computer interface (BCI) in clinical and translational applications. EEG-based Brain-Computer Interfaces (B

APA, Harvard, Vancouver, ISO, and other styles

31

Shankar, A., S. Muttan, and D. Vaithiyanathan. "Signal Processing and Classification for Electroencephalography Based Motor Imagery Brain Computer Interface." Journal of Medical Imaging and Health Informatics 11, no. 12 (2021): 2918–27. http://dx.doi.org/10.1166/jmihi.2021.3904.

Full text

Abstract:

Brain Computer Interface (BCI) is a fast growing area of research to enable communication between our brains and computers. EEG based motor imagery BCI involves the user imagining movement, the subsequent recording and signal processing on the electroencephalogram signals from the brain, and the translation of those signals into specific commands. Ultimately, motor imagery BCI has the potential to be applied to helping those with special abilities recover motor control. This paper presents an evaluation of performance for EEG based motor imagery BCI with a classification accuracy of 80.2%, mak

APA, Harvard, Vancouver, ISO, and other styles

32

Aloise, Fabio, E. Morabito, A. Riccio, et al. "Brain Computer Interface to operate domotic environment." Interaction Design and Architecture(s), no. 5_6 (March 20, 2009): 125–26. http://dx.doi.org/10.55612/s-5002-005_6-021.

Full text

Abstract:

The brain computer interface (BCI) technology allows a direct connection between brain and computer without any muscular activity required, and thus it offers a unique opportunity to enhance and/or to restore communication and actions into external word in people with severe motor disability. Here we present a set of findings that confirm the feasibility of a real domotic environmental control operated via P300-based BCI. Furthermore, the relevant issue of a low bit rate of command execution is addressed by the implementation of a dynamical BCI interface whose upgrade is based on a continuous

APA, Harvard, Vancouver, ISO, and other styles

33

Mansoor, Asif, Muhammad Waleed Usman, Noreen Jamil, and M. Asif Naeem. "Deep Learning Algorithm for Brain-Computer Interface." Scientific Programming 2020 (August 25, 2020): 1–12. http://dx.doi.org/10.1155/2020/5762149.

Full text

Abstract:

Electroencephalography-(EEG-) based control is a noninvasive technique which employs brain signals to control electrical devices/circuits. Currently, the brain-computer interface (BCI) systems provide two types of signals, raw signals and logic state signals. The latter signals are used to turn on/off the devices. In this paper, the capabilities of BCI systems are explored, and a survey is conducted how to extend and enhance the reliability and accuracy of the BCI systems. A structured overview was provided which consists of the data acquisition, feature extraction, and classification algorith

APA, Harvard, Vancouver, ISO, and other styles

34

Han, Chang-Hee, Klaus-Robert Müller, and Han-Jeong Hwang. "Brain-Switches for Asynchronous Brain–Computer Interfaces: A Systematic Review." Electronics 9, no. 3 (2020): 422. http://dx.doi.org/10.3390/electronics9030422.

Full text

Abstract:

A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a synchronous BCI system, in that, BCI commands can be generated whenever the user wants. However, the relatively low performance of an asynchronous BCI system is problematic because redundant BCI commands are required to correct false-positive operations. To significantly reduce the number of false-positive operations of an asynchronous BCI system, a two-step approach has been pro

APA, Harvard, Vancouver, ISO, and other styles

35

Abdulwahab, Samaa, Hussain Khleaf, and Manal Jassim. "A Systematic Review of Brain-Computer Interface Based EEG." Iraqi Journal for Electrical and Electronic Engineering 16, no. 2 (2020): 1–10. http://dx.doi.org/10.37917/ijeee.16.2.9.

Full text

Abstract:

The futuristic age requires progress in handwork or even sub-machine dependency and Brain-Computer Interface (BCI) provides the necessary BCI procession. As the article suggests, it is a pathway between the signals created by a human brain thinking and the computer, which can translate the signal transmitted into action. BCI-processed brain activity is typically measured using EEG. Throughout this article, further intend to provide an available and up-to-date review of EEG-based BCI, concentrating on its technical aspects. In specific, we present several essential neuroscience backgrounds that

APA, Harvard, Vancouver, ISO, and other styles

36

Nam, Chang S. "Brain–computer interface (BCI) and ergonomics." Ergonomics 55, no. 5 (2012): 513–15. http://dx.doi.org/10.1080/00140139.2012.676675.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Nijboer, Femke, Adrian Furdea, Ingo Gunst, et al. "An auditory brain–computer interface (BCI)." Journal of Neuroscience Methods 167, no. 1 (2008): 43–50. http://dx.doi.org/10.1016/j.jneumeth.2007.02.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Rezaei Tabar, Yousef, and Ugur Halici. "Brain Computer Interfaces for Silent Speech." European Review 25, no. 2 (2016): 208–30. http://dx.doi.org/10.1017/s1062798716000569.

Full text

Abstract:

Brain Computer Interface (BCI) systems provide control of external devices by using only brain activity. In recent years, there has been a great interest in developing BCI systems for different applications. These systems are capable of solving daily life problems for both healthy and disabled people. One of the most important applications of BCI is to provide communication for disabled people that are totally paralysed. In this paper, different parts of a BCI system and different methods used in each part are reviewed. Neuroimaging devices, with an emphasis on EEG (electroencephalography), ar

APA, Harvard, Vancouver, ISO, and other styles

39

Wang, Yuqi. "Brain computer interface for diagnosis of ASD." Theoretical and Natural Science 66, no. 1 (2024): 61–67. https://doi.org/10.54254/2753-8818/2024.17989.

Full text

Abstract:

ASD, or Autism Spectrum Disorder, is a complex neurodevelopmental disorder that significantly impacts an individual's social communication abilities and overall communication skills. Traditional diagnostic methods for ASD face several challenges, including a high degree of subjectivity and difficulties in early identification, which can delay crucial interventions. In this context, Brain-Computer Interface (BCI) technology emerges as a promising solution. BCI technology offers the capability to provide real-time and objective data on neural activity by directly interpreting brain signals. The

APA, Harvard, Vancouver, ISO, and other styles

40

Gao, Shikang, Yizhen Tang, Yucheng Ye, Boyu Qian, and Maoyang Wang. "Neural rehabilitation based on brain computer interface." Applied and Computational Engineering 42, no. 1 (2024): 163–69. http://dx.doi.org/10.54254/2755-2721/42/20230772.

Full text

Abstract:

BCI is a newly developed technology that can be used for neurological rehabilitation of brain injuries and paralysis. This article first reviews the history of BCI, and then introduces two major neurorehabilitation BCI technologies for neurorecording and neuromodulation, invasive and non-invasive. For each technology, we describe the challenges of each technology, analyzing the current state and future development trends. In terms of non-invasive technology, the most mature and extensive EEG brain signal analysis methods and two brain regulation technologies, transcranial magnetic stimulation

APA, Harvard, Vancouver, ISO, and other styles

41

Karakotov, Akhmat A., Kazbek S. Aybatyrov, and Nanish Kh Nurmagomadova. "NEUROINTERFACES IN EDUCATION: PROSPECTS AND ETHICAL BOUNDARIES OF BCI (BRAIN-COMPUTER INTERFACE) TECHNOLOGIES APPLICATION." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 5/10, no. 158 (2025): 212–18. https://doi.org/10.36871/ek.up.p.r.2025.05.10.026.

Full text

Abstract:

The article examines current issues of implementing neural interface technologies (BCI) in educational practice. A comprehensive analysis of the potential of using BCI systems for the cognitive development of students, personalization of the educational process and objective assessment of cognitive activity is carried out. Particular attention is paid to the prospects for using neurotechnologies in inclusive education, including the development of adaptive interfaces for students with disabilities. In parallel, the key ethical dilemmas associated with the use of BCI in the educational context

APA, Harvard, Vancouver, ISO, and other styles

42

Nam, Chang S., Matthew Moore, Inchul Choi, and Yueqing Li. "Designing Better, Cost-Effective Brain–Computer Interfaces." Ergonomics in Design: The Quarterly of Human Factors Applications 23, no. 4 (2015): 13–19. http://dx.doi.org/10.1177/1064804615572625.

Full text

Abstract:

Despite the increase in research interest in the brain–computer interface (BCI), there remains a general lack of understanding of, and even inattention to, human factors/ergonomics (HF/E) issues in BCI research and development. The goal of this article is to raise awareness of the importance of HF/E involvement in the emerging field of BCI technology by providing HF/E researchers with a brief guide on how to design and implement a cost-effective, steady-state visually evoked potential (SSVEP)–based BCI system. We also discuss how SSVEP BCI systems can be improved to accommodate users with spec

APA, Harvard, Vancouver, ISO, and other styles

43

Yu, Tianyou, Yuanqing Li, Jinyi Long, and Feng Li. "A Hybrid Brain-Computer Interface-Based Mail Client." Computational and Mathematical Methods in Medicine 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/750934.

Full text

Abstract:

Brain-computer interface-based communication plays an important role in brain-computer interface (BCI) applications; electronic mail is one of the most common communication tools. In this study, we propose a hybrid BCI-based mail client that implements electronic mail communication by means of real-time classification of multimodal features extracted from scalp electroencephalography (EEG). With this BCI mail client, users can receive, read, write, and attach files to their mail. Using a BCI mouse that utilizes hybrid brain signals, that is, motor imagery and P300 potential, the user can selec

APA, Harvard, Vancouver, ISO, and other styles

44

Chamola, Vinay, Ankur Vineet, Anand Nayyar, and Eklas Hossain. "Brain-Computer Interface-Based Humanoid Control: A Review." Sensors 20, no. 13 (2020): 3620. http://dx.doi.org/10.3390/s20133620.

Full text

Abstract:

A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals to control external devices. The generation of such signals is sometimes independent of the nervous system, such as in Passive BCI. This is majorly beneficial for those who have severe motor disabilities. Traditional BCI systems have been dependent only on brain signals recorded using Electroencephalography (EEG) and have used a rule-based translation algorithm to generate control commands. However, the recent use of multi-sensor data fusion and machine learning-based translation algorithms has improved the

APA, Harvard, Vancouver, ISO, and other styles

45

Sutjiadi, Raymond, Timothy John Pattiasina, and Resmana Lim. "SSVEP-based brain-computer interface for computer control application using SVM classifier." International Journal of Engineering & Technology 7, no. 4 (2018): 2722. http://dx.doi.org/10.14419/ijet.v7i4.16139.

Full text

Abstract:

In this research, a Brain Computer Interface (BCI) based on Steady State Visually Evoked Potential (SSVEP) for computer control applications using Support Vector Machine (SVM) is presented. For many years, people have speculated that electroencephalographic activities or other electrophysiological measures of brain function might provide a new non-muscular channel that can be used for sending messages or commands to the external world. BCI is a fast-growing emergent technology in which researchers aim to build a direct channel between the human brain and the computer. BCI systems provide a new

APA, Harvard, Vancouver, ISO, and other styles

46

Anuraag Manvi, Amaan Masood, and Kusuma Mohanchandra. "Brain Operated Wheelchair System." International Journal of Artificial Intelligence 7, no. 1 (2020): 1–6. http://dx.doi.org/10.36079/lamintang.ijai-0701.54.

Full text

Abstract:

This paper predominantly explains the use of a simplistic uni-polar device to obtain EEG for the development of a Brain-Computer Interface (BCI). In contrast, BCI's eye-blinking stimuli can also be obtained. Consequently, focus and eye-blinking stimuli can be captured as control pulses in electric wheelchairs via a computer interface and electrical interface. This survey paper aims to provide a feasible solution to integrate a Brain-Computer Interface (BCI) with automated identification and avoidance of obstacles. The automated obstacle detection and avoidance system aims to provide a way to e

APA, Harvard, Vancouver, ISO, and other styles

47

Li, Ziqi, Li Pei, and Cankun Wang. "The current development of the non-medicine treatment of Epilepsy involved EEG and the Expectation." Highlights in Science, Engineering and Technology 6 (July 27, 2022): 249–54. http://dx.doi.org/10.54097/hset.v6i.968.

Full text

Abstract:

Since Jacquces Vidal first proposed the concept of the brain-computer interface in 1973, more and more scientific researches have been involved in the study of BCI, leading to the rapid development of BCI technology. Brain-computer interface refers to establishing a direct connection between the human brain and the external machine, which enables the brain to directly interact with the outside world based on the behaviours and movement of muscle tissue regulated by peripheral nerves or the communication of language and characters. BCI can achieve direct contact with external devices without re

APA, Harvard, Vancouver, ISO, and other styles

48

Zhao, Zhi-Ping, Chuang Nie, Cheng-Teng Jiang, et al. "Modulating Brain Activity with Invasive Brain–Computer Interface: A Narrative Review." Brain Sciences 13, no. 1 (2023): 134. http://dx.doi.org/10.3390/brainsci13010134.

Full text

Abstract:

Brain-computer interface (BCI) can be used as a real-time bidirectional information gateway between the brain and machines. In particular, rapid progress in invasive BCI, propelled by recent developments in electrode materials, miniature and power-efficient electronics, and neural signal decoding technologies has attracted wide attention. In this review, we first introduce the concepts of neuronal signal decoding and encoding that are fundamental for information exchanges in BCI. Then, we review the history and recent advances in invasive BCI, particularly through studies using neural signals

APA, Harvard, Vancouver, ISO, and other styles

49

Bogue, Robert. "Brain‐computer interfaces: control by thought." Industrial Robot: An International Journal 37, no. 2 (2010): 126–32. http://dx.doi.org/10.1108/01439911011018894.

Full text

Abstract:

PurposeThe purpose of this paper is to provide a technical insight into recent developments in brain‐computer interface (BCI) technology and its applications.Design/methodology/approachFollowing an introduction to BCI, this paper considers the different means of detecting brain waves and then discusses a number of BCI development programmes and applications.FindingsInvasive, partially invasive and non‐invasive BCI techniques are the topic of extensive study and aim to allow the control of external devices by human thought. Invasive BCIs are being applied to patients suffering paralysis and req

APA, Harvard, Vancouver, ISO, and other styles

50

Koudelkova, Zuzana, Sarka Dankova, Michal Filip, and Marcela Dabrovska. "The Possibility of Using BCI Applications in Physiotherapy." MATEC Web of Conferences 292 (2019): 01033. http://dx.doi.org/10.1051/matecconf/201929201033.

Full text

Abstract:

Brain-Computer Interface (BCI) is an interface connecting the human neural system and computer. This article explains the fundamental principles of BCI and devices, which can be controlled using electroencephalography (EEG). Firstly, this article describes Brain-Computer interface according to obtaining brain activity. After that, the applications of BCI are proposed, which can be used in clinical practice. In the experimental part, the external systems are defined. These external systems are operated by BCI technology. This technology is developed at the Department of Informatics and Artifici

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!