( en | de | ru )

 

Disambiguation of "Nambu, Isao"

Author of the publication

copydeleteadd this publication to your clipboard
The adjustment of muscle synergy recruitment by controlling muscle contraction during the reaching movement.

, , and . SMC, page 756-761. IEEE, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Isao Tokuda

Tomokazu Nambu

Isao Miki

Sam Isao Schmitz

 

Other publications of authors with the same name

Estimation of force direction from functional near-infrared spectroscopy signals using sparse logistic regression., , , and . EMBC, page 4639-4642. IEEE, (2012)Temporal changes of beta rhythms and rotation-related negativity reflect switches in motor imagery., , , and . EMBC, page 1326-1329. IEEE, (2014)Predicting occurrence of errors during a Go/No-Go task from EEG signals using Support Vector Machine., , and . EMBC, page 4944-4947. IEEE, (2014)The adjustment of muscle synergy recruitment by controlling muscle contraction during the reaching movement., , and . SMC, page 756-761. IEEE, (2016)Improving the Localization Accuracy of Virtual Sound Source through Reinforcement Learning., , , , , and . SMC, page 4378-4383. IEEE, (2013)Influence of Difference of Spatial Information Obtained from a Moving Virtual Sound Presentation on Auditory BCI., , and . ICONIP (7), volume 11307 of Lecture Notes in Computer Science, page 577-584. Springer, (2018)Accuracy Enhancement for Ear Acoustic Authentication Using Between-class Features., , , and . CoRR, (2022)Effects of Data Including Visual Presentation and Rest Time on Classification of Motor Imagery of Using Brain-Computer Interface Competition Datasets., and . IEEE Access, (2023)Single trial P300 identification for an auditory BCI: Implementation of a 3D input for convolutional neural networks., , , and . SMC, page 228-233. IEEE, (2017)Adaptive Modeling of HRTFs Based on Reinforcement Learning., , , , and . ICONIP (4), volume 7666 of Lecture Notes in Computer Science, page 423-430. Springer, (2012)