Tadanori Fukami

According to our database, Tadanori Fukami authored at least 18 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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.

Chifumi Iseki, Shou Suzuki, Tadanori Fukami, Shigeki Yamada, Tatsuya Hayasaka, Toshiyuki Kondo, Masayuki Hoshi, Shigeo Ueda, Yoshiyuki Kobayashi, Masatsune Ishikawa, Shigenori Kanno, Kyoko Suzuki, Yukihiko Aoyagi, Yasuyuki Ohta

Sensors, November, 2023

Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT).

Chifumi Iseki, Tatsuya Hayasaka, Hyota Yanagawa, Yuta Komoriya, Toshiyuki Kondo, Masayuki Hoshi, Tadanori Fukami, Yoshiyuki Kobayashi, Shigeo Ueda, Kaneyuki Kawamae, Masatsune Ishikawa, Shigeki Yamada, Yukihiko Aoyagi, Yasuyuki Ohta

Sensors, July, 2023

Quantitative Gait Feature Assessment on Two-Dimensional Body Axis Projection Planes Converted from Three-Dimensional Coordinates Estimated with a Deep Learning Smartphone App.

Shigeki Yamada, Yukihiko Aoyagi, Chifumi Iseki, Toshiyuki Kondo, Yoshiyuki Kobayashi, Shigeo Ueda, Keisuke Mori, Tadanori Fukami, Motoki Tanikawa, Mitsuhito Mase, Minoru Hoshimaru, Masatsune Ishikawa, Yasuyuki Ohta

Sensors, January, 2023

2022

Development of Smartphone Application for Markerless Three-Dimensional Motion Capture Based on Deep Learning Model.

Yukihiko Aoyagi, Shigeki Yamada, Shigeo Ueda, Chifumi Iseki, Toshiyuki Kondo, Keisuke Mori, Yoshiyuki Kobayashi, Tadanori Fukami, Minoru Hoshimaru, Masatsune Ishikawa, Yasuyuki Ohta

Sensors, 2022

Classification of finger movement based on EEG phase using deep learning.

Han Wenhao, Ma Lei, Kosuke Hashimoto, Tadanori Fukami

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Adaptation to a brain-computer interface of transfer learning using event-related potentials obtained under different measurement conditions.

Hikaru Sato, Aoi Yoshida, Bunnoshin Ishikawa, Tadanori Fukami

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

2021

Reduction of the ERP Measurement Time by a Weighted Averaging Using Deep Learning.

Aoi Yoshida, Hikaru Sato, Siu Kang, Bunnoshin Ishikawa, Tadanori Fukami

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Performance Improvement of EEG-Based BCI Using Visual Feedback Based on Evaluation Scores Calculated by a Computer.

Hikaru Sato, Aoi Yoshida, Takamasa Shimada, Tadanori Fukami

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Motor Imagery Classification of Finger Motions Using Multiclass CSP.

Masaki Kato, Suguru Kanoga, Takayuki Hoshino, Tadanori Fukami

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018

Classification of Patients with Alzheimer's Disease and Healthy Subjects from MRI Brain Images Using the Existence Probability of Tissue Types.

Kota Oishi, Hiroki Fuse, Norihide Maikusa, Tadanori Fukami

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Detection of Alzheimer's Disease with Shape Analysis of MRI Images.

Hiroki Fuse, Kota Oishi, Norihide Maikusa, Tadanori Fukami

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

2017

Fast spike detection in EEG using eigenvalue analysis and clustering of spatial amplitude distribution.

Tadanori Fukami, Takamasa Shimada, Bunnoshin Ishikawa

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Robust estimation of event-related potentials via particle filter.

Tadanori Fukami, Jun Watanabe, Fumito Ishikawa

Comput. Methods Programs Biomed., 2016

2015

Preliminary study for extraction of P300 and SSVEP by stimulus presentation using phase inversion technique in hybrid BCI.

Tadanori Fukami, Kazuyoshi Ishihara, Fumito Ishikawa

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013

Character identification by maximizing the difference between target and non-target responses in EEG without sophisticated classifiers.

Junya Toma, Tadanori Fukami, Takamasa Shimada

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Quantitative evaluation for the wakefulness state using complexity-based decision threshold value in EEG signals.

Maen Alaraj, Tadanori Fukami

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

EEG character identification using stimulus sequences designed to maximize mimimal hamming distance.

Tadanori Fukami, Takamasa Shimada, Elliott M. Forney, Charles W. Anderson

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

The Relationship between Aging and Photic Driving EEG Response.

Tadanori Fukami, Takamasa Shimada, Fumito Ishikawa, Bunnoshin Ishikawa, Yoichi Saito

IEICE Trans. Inf. Syst., 2011