Embedded brain computer interface: state-of-the-art in research

K Belwafi, S Gannouni, H Aboalsamh - Sensors, 2021 - mdpi.com
There is a wide area of application that uses cerebral activity to restore capabilities for
people with severe motor disabilities, and actually the number of such systems keeps …

Mobile Near-infrared Sensing—A Systematic Review on Devices, Data, Modeling, and Applications

W Jiang, J Goncalves, V Kostakos - ACM Computing Surveys, 2024 - dl.acm.org
Mobile near-infrared sensing is becoming an increasingly important method in many
research and industrial areas. To help consolidate progress in this area, we use the PRISMA …

Performance improvement of near-infrared spectroscopy-based brain-computer interfaces using transcranial near-infrared photobiomodulation with the same device

J Kwon, CH Im - IEEE Transactions on Neural Systems and …, 2020 - ieeexplore.ieee.org
Transcranial near-infrared photobiomodulation (tNIR-PBM) can modulate physiological
characteristics of the human brain, such as the cerebral blood flow and oxidative …

Assistive smart home environment using head gestures and EEG eye blink control schemes

M Ghaffar, SR Sheikh, N Naseer… - … Conference on Artificial …, 2021 - ieeexplore.ieee.org
Field of Assistive Smart Homes has emerged with the aim of enabling the physically
challenged, the elderly or those with constraint motion and to restore their capability of …

[PDF][PDF] Brain computer interface based smart home control using EEG signal

MH Masood, M Ahmad, MA Kathia, RZ Zafar… - Sci. Int …, 2016 - researchgate.net
The paper presents the Brain-Computer Interface (BCI) based home control system. The
proposed system isused to facilitate the handicapped and needy persons. Neurosky …

Decoding emotional valence from electroencephalographic rhythmic activity

H Çelikkanat, H Moriya, T Ogawa… - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
We attempt to decode emotional valence from electroencephalographic rhythmic activity in a
naturalistic setting. We employ a data-driven method developed in a previous study …

A network-type brain machine interface to support activities of daily living

T Suyama - IEICE Transactions on Communications, 2016 - search.ieice.org
To help elderly and physically disabled people to become self-reliant in daily life such as at
home or a health clinic, we have developed a network-type brain machine interface (BMI) …

Conception d'une architecture embarquée adaptable pour le déploiement d'applications d'interface cerveau machine

K Belwafi - 2017 - theses.hal.science
L'objectif de ces travaux de recherche est l'étude et le développement d'un système ICM
embarqué en utilisant la méthodologie de conception conjointe afin de satisfaire ses …

A no-reference metric of cerebral blood flow extraction for fNIRS data

T Hoshino, S Kanoga, A Kanemura… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS) offers a convenient means to measure human
brain activity in real environments, driving many applications in neuroscience, medicine, and …

An Exploratory Research Analysis on Brain Machine/Computer Interface

DKV Jetty, SM Mohammad - DilipKumar Varma Jetty, Sikender …, 2021 - papers.ssrn.com
BCI and its potential to enhance human cognitive abilities are investigated in this article. The
findings indicate that BCI is one among multiple paths to super intelligence. BCI's have …