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Tadanori Fukami
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2020 – today
- 2023
- [j6]Shigeki Yamada
, Yukihiko Aoyagi, Chifumi Iseki
Quantitative Gait Feature Assessment on Two-Dimensional Body Axis Projection Planes Converted from Three-Dimensional Coordinates Estimated with a Deep Learning Smartphone App. Sensors 23(2): 617 (2023) - [j5]Chifumi Iseki
Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT). Sensors 23(13): 6217 (2023) - [j4]Chifumi Iseki
Fluctuations in Upper and Lower Body Movement during Walking in Normal Pressure Hydrocephalus and Parkinson's Disease Assessed by Motion Capture with a Smartphone Application, TDPT-GT. Sensors 23(22): 9263 (2023) - 2022
- [j3]Yukihiko Aoyagi, Shigeki Yamada
Development of Smartphone Application for Markerless Three-Dimensional Motion Capture Based on Deep Learning Model. Sensors 22(14): 5282 (2022) - [c12]Hikaru Sato, Aoi Yoshida, Bunnoshin Ishikawa, Tadanori Fukami:
Adaptation to a brain-computer interface of transfer learning using event-related potentials obtained under different measurement conditions. SCIS/ISIS 2022: 1-4 - [c11]Han Wenhao, Ma Lei, Kosuke Hashimoto, Tadanori Fukami:
Classification of finger movement based on EEG phase using deep learning. SCIS/ISIS 2022: 1-4 - 2021
- [c10]Hikaru Sato, Aoi Yoshida, Takamasa Shimada, Tadanori Fukami:
Performance Improvement of EEG-Based BCI Using Visual Feedback Based on Evaluation Scores Calculated by a Computer. EMBC 2021: 6086-6089 - [c9]Aoi Yoshida, Hikaru Sato, Siu Kang, Bunnoshin Ishikawa, Tadanori Fukami:
Reduction of the ERP Measurement Time by a Weighted Averaging Using Deep Learning. EMBC 2021: 6090-6093 - 2020
- [c8]Masaki Kato, Suguru Kanoga
Motor Imagery Classification of Finger Motions Using Multiclass CSP. EMBC 2020: 2991-2994
2010 – 2019
- 2018
- [c7]Hiroki Fuse, Kota Oishi, Norihide Maikusa, Tadanori Fukami:
Detection of Alzheimer's Disease with Shape Analysis of MRI Images. SCIS&ISIS 2018: 1031-1034 - [c6]Kota Oishi, Hiroki Fuse, Norihide Maikusa, Tadanori Fukami:
Classification of Patients with Alzheimer's Disease and Healthy Subjects from MRI Brain Images Using the Existence Probability of Tissue Types. SCIS&ISIS 2018: 1035-1038 - 2017
- [c5]Tadanori Fukami, Takamasa Shimada, Bunnoshin Ishikawa:
Fast spike detection in EEG using eigenvalue analysis and clustering of spatial amplitude distribution. EMBC 2017: 467-470 - 2016
- [j2]Tadanori Fukami, Jun Watanabe, Fumito Ishikawa:
Robust estimation of event-related potentials via particle filter. Comput. Methods Programs Biomed. 125: 26-36 (2016) - 2015
- [c4]Tadanori Fukami, Kazuyoshi Ishihara, Fumito Ishikawa:
Preliminary study for extraction of P300 and SSVEP by stimulus presentation using phase inversion technique in hybrid BCI. EMBC 2015: 63-66 - 2013
- [c3]Junya Toma, Tadanori Fukami, Takamasa Shimada:
Character identification by maximizing the difference between target and non-target responses in EEG without sophisticated classifiers. EMBC 2013: 2243-2246 - [c2]Maen Alaraj
Quantitative evaluation for the wakefulness state using complexity-based decision threshold value in EEG signals. EMBC 2013: 6175-6178 - 2012
- [c1]Tadanori Fukami, Takamasa Shimada, Elliott M. Forney, Charles W. Anderson
EEG character identification using stimulus sequences designed to maximize mimimal hamming distance. EMBC 2012: 1782-1785 - 2011
- [j1]Tadanori Fukami, Takamasa Shimada, Fumito Ishikawa, Bunnoshin Ishikawa, Yoichi Saito:
The Relationship between Aging and Photic Driving EEG Response. IEICE Trans. Inf. Syst. 94-D(9): 1839-1842 (2011)
Coauthor Index
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