Channel: Human enhancement

Human enhancement is the natural, artificial, or technological alteration of the human body in order to enhance physical or mental capabilities. Wikipedia (CC BY-SA 3.0)

2023 Articles

311 articles

Adaptive Template Reconstruction for Effective Pattern Classification

  • Su Yang, Sanaul Hoque, Farzin Deravi, Su Yang, Sanaul Hoque, Farzin Deravi
  • Sensors (Basel), 10.3390/s23156707
Comment Section

ST-CapsNet: Linking Spatial and Temporal Attention with Capsule Network for P300 Detection Improvement

  • Zehui Wang, Chuangquan Chen, Junhua Li, Feng Wan, Yu Sun, Hongtao Wang
  • IEEE Trans Neural Syst Rehabil Eng, 10.1109/tnsre.2023.3237319
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A large EEG database with users’ profile information for motor imagery brain-computer interface research

  • Pauline Dreyer, Aline Roc, LĂ©a Pillette, …, LĂ©a Pillette, SĂ©bastien Rimbert, Fabien Lotte
  • Sci Data, 10.1038/s41597-023-02445-z
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Continuous shared control of a mobile robot with brain-computer interface and autonomous navigation for daily assistance

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Brain-machine interface based on transfer-learning for detecting the appearance of obstacles during exoskeleton-assisted walking

  • Vicente Quiles, Laura Ferrero, Eduardo Iåñez, …, Mario Ortiz, Ángel Gil-Agudo, JosĂ© M AzorĂ­n
  • None, 10.3389/fnins.2023.1154480
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Single trial detection of error-related potentials in brain-machine interfaces: a survey and comparison of methods

  • Mine Yasemin, Aniana Cruz, Urbano J Nunes, …, Aniana Cruz, Urbano J Nunes, Gabriel Pires
  • J Neural Eng, 10.1088/1741-2552/acabe9
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A new grid stimulus with subtle flicker perception for user-friendly SSVEP-based BCIs

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Impact of swiping direction on the interaction performance of elderly-oriented smart home interface: EEG and eye-tracking evidence

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Block Distributed Joint Temporal-Frequency-Phase Modulation for Steady-State Visual Evoked Potential Based Brain-Computer Interface With a Limited Number of Frequencies

  • Sheng Ge, Hui Yang, Ruimin Wang, …, Keiji Iramina, Pan Lin, Haixian Wang
  • IEEE J Biomed Health Inform, 10.1109/jbhi.2023.3244277
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Enhancement of motor imagery training efficiency by an online adaptive training paradigm integrated with error related potential

  • Tangfei Tao, Yaguang Jia, Guanghua Xu, …, Ruiquan Chen, Xiaowei Zheng, Yunhui Yu
  • J Neural Eng, 10.1088/1741-2552/acb102
Comment Section

2022 Articles

49 articles

Efficient Low-Frequency SSVEP Detection with Wearable EEG Using Normalized Canonical Correlation Analysis

  • Victor Javier Kartsch, Velu Prabhakar Kumaravel, Simone Benatti, …, Luca Benini, Elisabetta Farella, Marco Buiatti
  • Sensors (Basel), 10.3390/s22249803
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Motor Imagery Classification for Brain Computer Interface Using Deep Convolutional Neural Networks and Mixup Augmentation

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Error-related potential-based shared autonomy via deep recurrent reinforcement learning

  • Xiaofei Wang, Hsiang-Ting Chen, Chin-Teng Lin, …, Xiaofei Wang, Hsiang-Ting Chen, Chin-Teng Lin
  • J Neural Eng, 10.1088/1741-2552/aca4fb
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A novel ANN adaptive Riemannian-based kernel classification for motor imagery

  • Yacine Fodil, Salah Haddab, Amar Kachenoura, …, Haddab Salah, Kachenoura Amar, Karfoul Ahmad
  • Biomed Phys Eng Express, 10.1088/2057-1976/acaca2
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Independent bilateral-eye stimulation for gaze pattern recognition based on steady-state pupil light reflex

  • Ariki Sato, Shintaro Nakatani, Ariki Sato, Shintaro Nakatani, Ariki Sato, Shintaro Nakatani
  • J Neural Eng, 10.1088/1741-2552/acab31
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Effect of Stimulus Size in a Visual ERP-Based BCI under RSVP

  • Álvaro FernĂĄndez-RodrĂ­guez, Aube Darves-Bornoz, Francisco Velasco-Álvarez, …, Aube Darves-Bornoz, Francisco Velasco-Álvarez, Ricardo Ron-Angevin
  • Sensors (Basel), 10.3390/s22239505
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Wireless EEG: A survey of systems and studies

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Revisiting Riemannian geometry-based EEG decoding through approximate joint diagonalization

  • Fotis P Kalaganis, Nikos A Laskaris, Vangelis P Oikonomou, …, Vangelis P Oikonomou, Spiros Nikopolopoulos, Ioannis Kompatsiaris
  • J Neural Eng, 10.1088/1741-2552/aca4fc
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A Review of Brain Activity and EEG-Based Brain-Computer Interfaces for Rehabilitation Application

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A new error-monitoring brain-computer interface based on reinforcement learning for people with autism spectrum disorders

  • Gabriel Pires, Aniana Cruz, Diogo Jesus, …, Urbano J Nunes, Teresa Sousa, Miguel Castelo-Branco
  • J Neural Eng, 10.1088/1741-2552/aca798
Comment Section