21 papers · ranked by Valyu relevance
Simanto Saha, Khondaker A. Mamun, Khawza I. Ahmed, Raqibul Mostafa + 4 more
'Ganesh R. Naik' 'Sam Darvishi' 'Ahsan H. Khandoker' 'Mathias Baumert'] ABSTRACT Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working…
M. F. Mridha, Sujoy Chandra Das, Muhammad Mohsin Kabir, Aklima Akter Lima + 3 more
'Aklima Akter Lima' 'Md. Rashedul Islam' 'Yutaka Watanobe' 'Sung-Phil Kim'] 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…
Aleksandra Kawala-Sterniuk, Natalia Browarska, Amir Al-Bakri, Mariusz Pelc + 4 more
'Mariusz Pelc' 'Jaroslaw Zygarlicki' 'Michaela Sidikova' 'Radek Martinek' 'Edward Jacek Gorzelanczyk'] Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art…
Brent J. Lance, Scott E. Kerick, Anthony J. Ries, Kelvin S. Oie + 1 more
'Kaleb McDowell'] Lance, B.J.; Kerick, S.E.; Ries, A.J.; Oie, K.S.; McDowell, K.; , "Brain–Computer Interface Technologies in the Coming Decades," Proceedings of the IEEE , vol.100, no. Special Centennial Issue, pp.1585-1599, May 13 2012. doi: 10.1109/JPROC.2012.2184830 URL…
Roberto Portillo-Lara, Bogachan Tahirbegi, Christopher A. R. Chapman, Josef A. Goding + 1 more
'Josef A. Goding' 'Rylie A. Green'] Brain-computer interfaces (BCIs) provide bidirectional communication between the brain and output devices that translate user intent into function. Among the different brain imaging techniques used to operate BCIs, electroencephalography (EEG) constitutes the preferred method of…
Eric C. Leuthardt, Daniel W. Moran, Tim R. Mullen
With the emergence of numerous brain computer interfaces (BCI), their form factors, and clinical applications the terminology to describe their clinical deployment and the associated risk has been vague. The terms “minimally invasive” or “non-invasive” have been commonly used, but the risk can vary widely based on the…
Bosubabu Sambana, Priyanka Mishra
Brain-Computer Interface (BCI) systems support communication through direct measures of neural activity without muscle activity. Brain-Computer Interface systems need to be validated in longterm studies of real-world use by people with severe disabilities, and practical and viable models for their widespread…
Ritam Ghosh
Research on Brain-Computer Interface (BCI) began in the 1970's and has increased in volume and diversified significantly since then. Today BCI is widely used for applications like assistive devices for physically challenged users, mental state monitoring, input devices for hands-free applications, marketing, education…
Dylan Forenzo, Hao Zhu, Jenn Shanahan, Jaehyun Lim + 1 more
Brain-computer interfaces (BCI) using electroencephalography (EEG) provide a non-invasive method for users to interact with external devices without the need for muscle activation. While noninvasive BCIs have the potential to improve the lives of both healthy and motor impaired individuals, they currently have limited…
Andrej M. Savić, Pietro Aricò
Brain-computer interfaces (BCIs) measure brain activity and translate it into commands for a computer or machine, enabling users to control devices using only their thoughts. In February 2023, Nature Electronics Journal announced that BCIs were selected as the technology of the year (Drew, [4]). It has been fifty years…
Hyun Jae Baek, Min Hye Chang, Jeong Heo, Kwang Suk Park
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…
Yiqian Yang
Traditional brain-computer interfaces (BCIs), reliant on costly electroencephalography or invasive implants, struggle with complex human-computer interactions due to setup complexity and limited precision. We present NeuGaze, a novel webcambased system that leverages eye gaze, head movements, and facial expressions to…
Yanxiao Chen, Fan Wang, Tianwen Li, Lei Zhao + 4 more
'Wenya Nan' 'Peng Ding' 'Yunfa Fu'] Brain-computer interface (BCI) is a revolutionizing human-computer interaction with potential applications in both medical and non-medical fields, emerging as a cutting-edge and trending research direction. Increasing numbers of groups are engaging in BCI research and development.…
M. Rajya Lakshmi, T. Kameswara Rao, T. V. Prasad
– A new approach for implementing number of expressions, emotions and, actions to operate objects through the thoughts of brain using a Non-Invasive Brain Computing Interface (BCI) technique has been proposed. In this paper a survey on brain and its operations are presented. The steps involved in the brain signal…
Gunther Eysenbach, Sohrab Saeb, Joseph Salisbury, Alexander N Pisarchik + 2 more
'Alexander N Pisarchik' 'Vladimir A Maksimenko' 'Alexander E Hramov'] The first attempts to translate neuronal activity into commands to control external devices were made in monkeys yet in 1960s [1]. After that, during 1960-1970, the biological feedback was realized in monkeys, to provide voluntary control of the…
Michael A Jensen, Gerwin Schalk, Nuri Ince, Dora Hermes + 2 more
Stereoelectroencephalography (sEEG) is a mesoscale intracranial monitoring method which records from the brain volumetrically with depth electrodes. Implementation of sEEG in BCI has not been well-described across a diverse patient cohort. Across eighteen subjects, channels with high frequency broadband (HFB, 65-115Hz)…
Amin Behdad, Amro Nour, Arash Zereshkian, César Márquez-Chin + 1 more
'Miloš R. Popović'] | 1 | Project Description | | 3 | | --- | --- | --- | --- | | | 1.1 | Background and Motivation | 3 | | | 1.2 | Project Goal | 4 | | | 1.3 | Project Requirements | 5 | | | | 1.3.1 Stage 1 | 5 | | | | 1.3.2 Stage 2 | 5 | | | 1.4 | Validation and Acceptance Tests | 6 | | | | 1.4.1 Stage 1 | 6 | | | |…
Md. Ochiuddin Miah, Md. Mahfuzur Rahman, Rafsanjani Muhammod, Dewan Md. Farid
The classification of motor imagery electroencephalogram (MI-EEG) is a pivotal part of the biosignal classification in the brain-computer interface (BCI) applications. Currently, this bio-engineering based technology is being employed by researchers in various fields to develop cutting edge applications. The…
Yuriy Mishchenko, Murat Kaya, Erkan Ozbay, Hilmi Yanar
Recent developments in BCI techniques have demonstrated high-performance control of robotic prosthetic systems primarily via invasive methods. In this work we develop an electroencephalography (EEG) based noninvasive BCI system that can be used for a similar, albeit lower-speed robotic control, and a signal processing…
Kotaro Yamashiro, Nobuyoshi Matsumoto, Yuji Ikegaya
Brain-computer interface (BCI) technology has gained recognition in various fields, including clinical applications, assistive technology, and human-computer interaction research. BCI enables communication, control, and monitoring of the affective/cognitive states of users. Recently, BCI has also found applications in…
Md. Ochiuddin Miah, Rafsanjani Muhammod, Khondaker Abdullah Al Mamun, Dewan Md. Farid + 3 more
The classification of motor imagery electroencephalogram (MI-EEG) is a pivotal task in the biosignal classification process in the brain-computer interface (BCI) applications. Currently, this bio-engineering-based technology is being employed by researchers in various fields to develop cuttingedge applications. The…