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How to cite (IEEE):
R. Nakajima, M. Rusydi, S. Ramadhani, J. Muguro, K. Matsushita, & M. Sasaki
"Image Presentation Method for Human Machine Interface Using Deep Learning Object Recognition and P300 Brain Wave," JOIV : International Journal on Informatics Visualization, vol. 6, no. 3, , pp. 736-742, Sep. 2022.
https://doi.org/10.30630/joiv.6.3.949
How to cite (APA):
Nakajima, R., Rusydi, M., Ramadhani, S., Muguro, J., Matsushita, K., & Sasaki, M.
(2022).
Image Presentation Method for Human Machine Interface Using Deep Learning Object Recognition and P300 Brain Wave.
JOIV : International Journal on Informatics Visualization, 6(3), 736-742.
https://doi.org/10.30630/joiv.6.3.949
How to cite (Chicago):
Nakajima, Rio, Rusydi, Muhammad Ilhamdi, Ramadhani, Salisa Asyarina, Muguro, Joseph, Matsushita, Kojiro, AND Sasaki, Minoru.
"Image Presentation Method for Human Machine Interface Using Deep Learning Object Recognition and P300 Brain Wave" JOIV : International Journal on Informatics Visualization [Online], Volume 6 Number 3 (30 September 2022)
https://doi.org/10.30630/joiv.6.3.949
How to cite (Vancouver):
Nakajima R, Rusydi M, Ramadhani S, Muguro J, Matsushita K, & Sasaki M .
Image Presentation Method for Human Machine Interface Using Deep Learning Object Recognition and P300 Brain Wave.
JOIV : International Journal on Informatics Visualization [Online]. 2022 Sep;
6(3):736-742.
https://doi.org/10.30630/joiv.6.3.949
How to cite (Harvard):
Nakajima, R., Rusydi, M., Ramadhani, S., Muguro, J., Matsushita, K., & Sasaki, M.
,2022.
Image Presentation Method for Human Machine Interface Using Deep Learning Object Recognition and P300 Brain Wave.
JOIV : International Journal on Informatics Visualization, [Online] 6(3), pp. 736-742.
https://doi.org/10.30630/joiv.6.3.949
How to cite (MLA8):
Nakajima, Rio, Muhammad Ilhamdi Rusydi, Salisa Asyarina Ramadhani, Joseph Muguro, Kojiro Matsushita, & Minoru Sasaki.
"Image Presentation Method for Human Machine Interface Using Deep Learning Object Recognition and P300 Brain Wave." JOIV : International Journal on Informatics Visualization [Online], 6.3 (2022): 736-742. Web. 28 Mar. 2023
, https://doi.org/10.30630/joiv.6.3.949
BibTex Citation Data :
@article{JOIV949,
author = {Rio Nakajima and Muhammad Ilhamdi Rusydi and Salisa Asyarina Ramadhani and Joseph Muguro and Kojiro Matsushita and Minoru Sasaki},
title = {Image Presentation Method for Human Machine Interface Using Deep Learning Object Recognition and P300 Brain Wave},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {6},
number = {3},
year = {2022},
keywords = {Image; human machine interface; electroencephalogram; object recognition; P300.},
abstract = {Welfare robots, as a category of robotics, seeks to improve the quality of life of the elderly and patients by availing a control mechanism to enable the participants to be self-dependent. This is achieved by using man-machine interfaces that manipulate certain external processes like feeding or communicating. This research aims to realize a man-machine interface using brainwave combined with object recognition applicable to patients with locked-in syndrome. The system utilizes a camera with pretrained object-detection system that recognizes the environment and displays the contents in an interface to solicit a choice using P300 signals. Being a camera-based system, field of view and luminance level were identified as possible influences. We designed six experiments by adapting the arrangement of stimuli (triangular or horizontal) and brightness/colour levels. The results showed that the horizontal arrangement had better accuracy than the triangular method. Further, colour was identified as a key parameter for the successful discrimination of target stimuli. From the paper, the precision of discrimination can be improved by adopting a harmonized arrangement and selecting the appropriate saturation/brightness of the interface.},
issn = {2549-9904}, pages = {736--742}, doi = {10.30630/joiv.6.3.949},
url = {https://joiv.org/index.php/joiv/article/view/949}
}
Refworks Citation Data :
@article{{JOIV}{949}, author = {Nakajima, R., Rusydi, M., Ramadhani, S., Muguro, J., Matsushita, K., Sasaki, M.}, title = {Image Presentation Method for Human Machine Interface Using Deep Learning Object Recognition and P300 Brain Wave}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {6}, number = {3}, year = {2022}, doi = {10.30630/joiv.6.3.949}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.