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Motor imagery (MI) based brain-computer interfaces (BCIs) enable the direct control of external devices through the imagined movements of various body parts. Unlike previous systems that used fixed-length EEG trials for MI decoding,…

Human-Computer Interaction · Computer Science 2024-12-13 Huanyu Wu , Siyang Li , Dongrui Wu

A new type of non-invasive deep-brain stimulation is conceived and demonstrated by computer simulations. The process is based on spatio-temporal Fourier synthesis using multiple electrode pairs with sinusoidal current drive to limit skin…

General Physics · Physics 2024-08-02 Laszlo B. Kish , Andrea Antal

Objective: This paper proposes a novel type of stimulus in the shape of sinusoidal gratings displayed with an imperceptibly high-frequency motion. The stimulus has been designed for use in BCI (Brain Computer Interface) applications that…

Human-Computer Interaction · Computer Science 2024-05-20 Bartu Atabek , Efecan Yilmaz , Cengiz Acarturk , Murat Perit Cakir

This chapter presents results of our project, which studied whether contactless and airborne ultrasonic tactile display (AUTD) stimuli delivered to a user's palms could serve as a platform for a brain computer interface (BCI) paradigm. We…

Neurons and Cognition · Quantitative Biology 2016-01-05 Katsuhiko Hamada , Hiromu Mori , Hiroyuki Shinoda , Tomasz M. Rutkowski

Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in…

Human-Computer Interaction · Computer Science 2023-11-22 Changxing Huang , Nanlin Shi , Yining Miao , Xiaogang Chen , Yijun Wang , Xiaorong Gao

Brain-Computer Interface (BCI) uses brain signals in order to provide a new method for communication between human and outside world. Feature extraction, selection and classification are among the main matters of concerns in signal…

Human-Computer Interaction · Computer Science 2017-09-13 Ehsan Arbabi , Mohammad Bagher Shamsollahi

We study the extent to which contact-less and airborne ultrasonic tactile display (AUTD) stimuli delivered to the palms of a user can serve as a platform for a brain computer interface (BCI) paradigm. Six palm positions are used to evoke…

Neurons and Cognition · Quantitative Biology 2015-01-06 Katsuhiko Hamada , Hiromu Mori , Hiroyuki Shinoda , Tomasz M. Rutkowski

The purpose of this study is to develop a new methodology for designing stimulus sequences for cVEP BCI based on experimental studies regarding the behavior and the properties of the actual EEG responses of the visual system to coded visual…

Neurons and Cognition · Quantitative Biology 2022-07-26 M. N. Yasinzai , Y. Z. Ider

Humans can fluidly adapt their interest in complex environments in ways that machines cannot. Here, we lay the groundwork for a real-world system that passively monitors and merges neural correlates of visual interest across team members…

Neurons and Cognition · Quantitative Biology 2019-01-21 Amelia J. Solon , Stephen M. Gordon , Jonathan R. McDaniel , Vernon J. Lawhern

The prevalence of online learning poses a vital challenge in real-time monitoring of students' concentration. Traditional methods such as questionnaire assessments require manual intervention, and webcam-based monitoring fails to provide…

Human-Computer Interaction · Computer Science 2025-10-29 Asif Islam , Farhan Ishtiaque , Md. Muhyminul Haque , Farhana Sarker , Ravi Vaidyanathan , Khondaker A. Mamun

Haptic perception and feedback play a pivotal role in interactive experiences, forming an essential component of human-computer interaction (HCI). In recent years, the field of haptic interaction has witnessed significant advancements,…

Human-Computer Interaction · Computer Science 2025-05-08 Simin Yang , Xian Wang , Yang Li , Lik-Hang Lee , Tristan Camille Braud , Pan Hui

Electrical stimulation of residual nerves can be used to provide amputees with intuitive sensory feedback. An important aspect of this artificial sensory feedback is the ability to convey the magnitude of tactile stimuli. Using classical…

Neurons and Cognition · Quantitative Biology 2020-01-27 Jacob A. George , Mark R. Brinton , Paul C. Colgan , Garrison K. Colvin , Sliman J. Bensmaia , Gregory A. Clark

Tactile sensing plays an important role in robotic perception and manipulation tasks. To overcome the real-world limitations of data collection, simulating tactile response in a virtual environment comes as a desirable direction of robotic…

Robotics · Computer Science 2021-08-21 Yikai Wang , Wenbing Huang , Bin Fang , Fuchun Sun , Chang Li

Background: Spinal cord injury (SCI) rehabilitation remains a major clinical challenge, with limited treatment options for functional recovery. Temporal interference (TI) electrical stimulation has emerged as a promising non-invasive…

Medical Physics · Physics 2025-03-07 Xu Xie , Yuchen Xu , Huilin Mou , Xi Li , Li Zhang , Zehao Sheng , Weidong Chen , Shaomin Zhang , Ruidong Cheng , Minmin Wang

Objective. Personalized transcranial electrical stimulation (tES) has gained growing attention due to the substantial inter-individual variability in brain anatomy and physiology. While previous reviews have discussed the physiological…

Neurons and Cognition · Quantitative Biology 2025-11-06 Mo Wang , Kexin Zheng , Yingyue Xin , Xiang Chen , Yiling Liu , Huichun Luo , Jingsheng Tang , Tifei Yuan , Hongkai Wen , Pengfei Wei , Quanying Liu

Electroencephalography (EEG)-based P300 brain-computer interfaces (BCIs) enable communication without physical movement by detecting stimulus-evoked neural responses. Accurate and efficient decoding remains challenging due to high…

Methodology · Statistics 2026-03-02 Guoxuan Ma , Yuan Zhong , Moyan Li , Yuxiao Nie , Jian Kang

Significant inter-symbol interference (ISI) challenges the achievement of reliable, high data-rate molecular communication via diffusion. In this paper, a hybrid modulation based on pulse position and concentration is proposed to mitigate…

Information Theory · Computer Science 2021-04-21 Mustafa Can Gursoy , Daewon Seo , Urbashi Mitra

A brain-computer interface (BCI) based on electroencephalography (EEG) is a promising technology for enhancing virtual reality (VR) applications-in particular, for gaming. We focus on the so-called P300-BCI, a stable and accurate BCI…

Human-Computer Interaction · Computer Science 2020-02-07 Grégoire Cattan , Anton Andreev , Cesar Mendoza , Marco Congedo

Patients with traumatic brain injury (TBI) often experience pathological increases in intracranial pressure (ICP), leading to intracranial hypertension (tIH), a common and serious complication. Early warning of an impending rise in ICP…

The landscape of dose-finding designs for phase I clinical trials is rapidly shifting in the recent years, noticeably marked by the emergence of interval-based designs. We categorize them as the iDesigns and the IB-Designs. The iDesigns are…

Methodology · Statistics 2017-06-15 Yuan Ji , Shengjie Yang