A New method for Improvement of the Accuracy of Character Recognition in P300 Speller System: Optimization of Channel Selection by Using Recursive Channel Elimination Algorithm Based on Deep Learning [PDF]
Journal of Health Management & Informatics, 2020 Background and purpose:P300 speller is a kind of Brain-Computer Interface (BCI) system in which the user may type words by using the responses obtained from human focus on different characters.
Seyed Vahab Shojaedini, Maryam Adeli
doaj
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Electroencephalography (EEG) signals are gaining popularity in Brain-Computer Interface (BCI)-based rehabilitation and neural engineering applications thanks to their portability and availability.
Haowei Lou +3 more
doaj +1 more source
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
Sensors, 2022 Brain-computer interface (BCI) systems based on functional near-infrared spectroscopy (fNIRS) have been used as a way of facilitating communication between the brain and peripheral devices.
Asma Gulraiz +5 more
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A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification
IEEE Journal of Translational Engineering in Health and Medicine, 2015 In this paper, we present a new motor imagery classification method in the context of electroencephalography (EEG)-based brain-computer interface (BCI).
Hamza Baali +3 more
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Optimal Channel Selection Using Correlation Coefficient for CSP Based EEG Classification
IEEE Access, 2020 In this paper, we present an optimal channel selection method to improve common spatial pattern (CSP) related features for motor imagery (MI) classification.
Yongkoo Park, Wonzoo Chung
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A Fast, Open EEG Classification Framework Based on Feature Compression and Channel Ranking
Frontiers in Neuroscience, 2018 Superior feature extraction, channel selection and classification methods are essential for designing electroencephalography (EEG) classification frameworks.
Jiuqi Han +10 more
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Pointing Without a Pointer [PDF]
, 2004 We present a method for performing selection tasks based on continuous control of multiple, competing agents who try to determine the user's intentions from their control behaviour without requiring an explicit pointer.
Murray-Smith, R., Williamson, J.
core +1 more source
Decoding finger movements from ECoG signals using switching linear models
Frontiers in Neuroscience, 2012 One of the most interesting challenges in ECoG-based Brain-Machine Interface is movement prediction. Being able to perform such a prediction paves the way to high-degree precision command for a machine such as a robotic arm or robotic hands.
Remi eFlamary, Alain eRakotomamonjy
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Effective capacity channel model for frequency-selective fading channels [PDF]
Wireless Networks, 2005 To efficiently support quality of service (QoS) in future wireless networks, it is important to model a wireless channel in terms of connection-level QoS metrics such as data rate, delay and delay-violation probability. To achieve this, in [7], we proposed and developed a link-layer channel model termed effective capacity (EC) for flat fading channels.
null Dapeng Wu, R. Negi
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Distribution Channel and Remanufacturing Strategy Selection [PDF]
Mathematical Problems in Engineering, 2021 Remanufacturing has become an important and fast-growing industry. Many original equipment manufacturers (OEMs) cooperate with third-party remanufacturers (3PRs) through either outsourcing or licensing. They sell the new and remanufactured products either directly to the consumer or indirectly through a retailer.
Xunbo Wu +4 more
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