Results 41 to 50 of about 49,364 (181)
Mobile Electroencephalography for Studying Neural Control of Human Locomotion
Frontiers in Human Neuroscience, 2021 Walking or running in real-world environments requires dynamic multisensory processing within the brain. Studying supraspinal neural pathways during human locomotion provides opportunities to better understand complex neural circuity that may become ...
Seongmi Song +3 more
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Investigating User Needs for Bio-sensing and Affective Wearables [PDF]
, 2016 Bio-sensing wearables are currently advancing to provide users with a lot of information about their physiological and affective states. However, relatively little is known about users' interest in acquiring, sharing and receiving this information and ...
Alt, Florian +4 more
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User Experience of 7 Mobile Electroencephalography Devices: Comparative Study
JMIR mHealth and uHealth, 2019 BackgroundRegistration of brain activity has become increasingly popular and offers a way to identify the mental state of the user, prevent inappropriate workload, and control other devices by means of brain-computer interfaces.
Radüntz, Thea, Meffert, Beate
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A large-scale evaluation framework for EEG deep learning architectures
, 2018 EEG is the most common signal source for noninvasive BCI applications. For such applications, the EEG signal needs to be decoded and translated into appropriate actions.
Ball, Tonio +5 more
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Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots [PDF]
, 2018 This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot.
Antonello, Morris +4 more
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AN EEG MOBILE DEVICE AS A GAME CONTROLLER
TASK Quarterly, 2021 In this work the real-time control of computer games was explored by a single electrode mobile electroencephalography (EEG) device with a Bluetooth interface. The amplitude variation in the two frequency bands of 4-12 Hz and 60-200 Hz was selected as the real-time control parameter.
Dawid, Aleksander, Buchwald, Pawe��
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MethodsXElectroencephalography (EEG) data recorded during full-body movement is prone to artifacts that compromise signal quality. We introduce EEG-cleanse, a modular and fully automated preprocessing pipeline for cleaning EEG signals collected in dynamic, real ...
Carolina Rico-Olarte +2 more
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Noninvasive Neural Prostheses Using Mobile and Wireless EEG [PDF]
Proceedings of the IEEE, 2008 Neural prosthetic technologies have helped many patients by restoring vision, hearing, or movement and relieving chronic pain or neurological disorders. While most neural prosthetic systems to date have used invasive or implantable devices for patients with inoperative or malfunctioning external body parts or internal organs, a much larger population ...
null Chin-Teng Lin +7 more
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Single channel wireless EEG device for real-time fatigue level detection [PDF]
, 2015 © 2015 IEEE. Driver fatigue problem is one of the important factors of traffic accidents. Recent years, many research had investigated that using EEG signals can effectively detect driver's drowsiness level.
Chuang, CH +8 more
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Robust artifactual independent component classification for BCI practitioners [PDF]
, 2014 Objective. EEG artifacts of non-neural origin can be separated from neural signals by independent component analysis (ICA). It is unclear (1) how robustly recently proposed artifact classifiers transfer to novel users, novel paradigms or changed ...
Allefeld, Carsten +5 more
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