Results 81 to 90 of about 4,586,794 (296)

Towards improved visual stimulus discrimination in an SSVEP BCI [PDF]

, 2010
The dissertation investigated the influence of stimulus characteristics, electroencephalographic (EEG) electrode location and three signal processing methods on the spectral signal to noise ratio (SNR) of Steady State Visual Evoked Potentials (SSVEPs ...
Hodgskiss, Dean Leslie
core   +1 more source

Brain-Computer Interfaces for Internet of Things

Proceedings, 2018
A brain-computer interface for controlling elements commonly used at home is presented in this paper. It includes the electroencephalography device needed to acquire signals associated to the brain activity, the algorithms for artefact reduction and ...
Francisco Laport, Francisco J. Vazquez-Araujo, Paula M. Castro, Adriana Dapena   +3 more
doaj   +1 more source

Electrocapillary Modulated Interfacial Tension Amplifies Liquid Metal Transduction

Advanced Functional Materials, EarlyView.
This study presented an electrocapillary‐enhanced magnetohydrodynamic pumping strategy that harnesses the Lorentz force and interfacial tension modulation of liquid metal droplets to achieve amplified fluidic power. The system enabled low‐voltage, self‐oscillating fluidic transduction with enhanced pressure and flow generation, supporting compact ...
Saba Firouznia, Ciqun Xu, Michael D. Dickey, Jonathan Rossiter   +3 more
wiley   +1 more source

Brain-Computer Interfaces, Virtual Reality, and Videogames [PDF]

, 2015
Major challenges must be tackled for brain-computer interfaces to mature into an established communications medium for VR applications, which will range from basic neuroscience studies to developing optimal peripherals and mental gamepads and more ...
Lecuyer, Anatole, Slater, Mel, Lotte, Fabien, Leeb, Robert, Reilly, Richard B., Hirose, Michitaka   +5 more
core   +1 more source

Brain–computer interfaces in 2023–2024

Brain-X
Brain–computer interfaces (BCIs) have advanced at a rapid pace in recent years, particularly in the medical domain. This review provides a comprehensive summary of the progress made in medical BCIs during the 2023–2024 period, covering a wide range of ...
Shugeng Chen, Mingyi Chen, Xu Wang, Xiuyun Liu, Bing Liu, Dong Ming   +5 more
doaj   +1 more source

fNIRS-based brain-computer interfaces: a review

Frontiers in Human Neuroscience, 2015
A brain-computer interface (BCI) is a communication system that allows the use of brain activity to control computers or other external devices. It can, by bypassing the peripheral nervous system, provide a means of communication for people suffering ...
Noman eNaseer, Keum-Shik eHong, Keum-Shik eHong   +2 more
doaj   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Artificial Intelligence Applications for Brain–Computer Interfaces

Artificial Intelligence Applications for Brain-Computer Interfaces focuses on the advancements, challenges, and prospects of future technologies involving noninvasive brain-computer interfaces (BCIs). It includes the processing and analysis of multimodal
Subasi, Abdulhamit, Mian Qaisar, Saeed, Kumar Bhoi, Akash, Naga Srinivasu, Parvathaneni   +3 more
core   +1 more source

Bio‐Derived Polyelectrolyte Additive–Induced Interfacial Ion‐Diffusion Barriers for Nonvolatile Organic Artificial Synapses

Advanced Functional Materials, EarlyView.
Sodium alginate regulates interfacial ion transport and retention in electrolyte‐gated synaptic transistors. The carboxylate‐rich polymeric network forms a dynamic interfacial ion‐diffusion barrier that facilitates ion injection during programming while suppressing ion back‐diffusion, thereby stabilizing the electrochemically doped channel state.
Chaeyeon Han, Donghwa Lee, Hyeonse Kim, Hyoik Jang, Sein Chung, Geun Yeol Bae, Eunho Lee   +6 more
wiley   +1 more source

Acquisition of the electroencephalographic signal in Brain Computer Interfaces: challenges and opportunities

, 2022
openIn questa tesi, si cerca di dare un'inquadratura generale alle BCI (Brain Computer Interfaces), ovvero quei dispositivi che conferiscono un collegamento cervello e computer, con particolare attenzione all'ambito biomedico.
LA SALVIA, NADINE
core