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Isao Nambu
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2020 – today
- 2024
- [c27]Eduardo Carabez, Takanori Sato, Isao Nambu:
Raw and Artificially Generated Data to Improve the Development of Brain-Computer Interfaces: Proof of Concept. COMPSAC 2024: 1566-1567 - 2023
- [j7]Kento Suemitsu
, Isao Nambu
Effects of Data Including Visual Presentation and Rest Time on Classification of Motor Imagery of Using Brain-Computer Interface Competition Datasets. IEEE Access 11: 59542-59557 (2023) - [i2]Tatsuki Kobayashi, Yoshiko Maruyama, Isao Nambu, Shohei Yano, Yasuhiro Wada:
Temporal convolutional neural networks to generate a head-related impulse response from one direction to another. CoRR abs/2310.14018 (2023) - 2022
- [j6]Taichi Tanaka, Isao Nambu
Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography. Sensors 22(13): 5005 (2022) - [i1]Masaki Yasuhara, Isao Nambu, Yoshiko Maruyama, Shohei Yano:
Accuracy Enhancement for Ear Acoustic Authentication Using Between-class Features. CoRR abs/2205.08778 (2022) - 2021
- [c26]Taichi Tanaka, Isao Nambu, Yoshiko Maruyama, Yasuhiro Wada:
Verification of Normalization Method to Improve Usability and Versatility among Users of Applications that Predict Continuous Motion Using Electromyography. EMBC 2021: 178-181 - [c25]Daiki Nishiura, Isao Nambu, Yoshiko Maruyama, Yasuhiro Wada:
Improvement of human error prediction accuracy in single-trial analysis of electroencephalogram. EMBC 2021: 6179-6182 - 2020
- [c24]Tsubasa Sano, Misaki Takeda, Isao Nambu, Yasuhiro Wada:
Relations between Speed-Accuracy Trade-Off and Muscle Synergy in Isometric Contraction Tasks. EMBC 2020: 4803-4806 - [c23]Taichi Tanaka, Isao Nambu, Yasuhiro Wada:
Developing a Method to Control an Arm-Assist-Suit by Predicting Arm-Trajectory Using Electromyography. EMBC 2020: 4882-4885 - [c22]Yuki Kokai, Isao Nambu, Yasuhiro Wada:
Identifying Motor Imagery-Related Electroencephalogram Features During Motor Execution. ICONIP (3) 2020: 90-97 - [c21]Kenshi Machida, Isao Nambu, Yasuhiro Wada:
Neural Network Including Alternative Pre-processing for Electroencephalogram by Transposed Convolution. ICONIP (5) 2020: 139-146
2010 – 2019
- 2019
- [c20]Naoki Fukuda, Isao Nambu, Yasuhiro Wada
Classification of Movement Direction From Electroencephalogram During Working Memory Time. EMBC 2019: 3107-3110 - [c19]Tomoyuki Nagasawa, Takanori Sato, Isao Nambu, Yasuhiro Wada
Improving fNIRS-BCI accuracy using GAN-based data augmentation. NER 2019: 1208-1211 - 2018
- [j5]Satoshi Hirose, Isao Nambu
Cortical activation associated with motor preparation can be used to predict the freely chosen effector of an upcoming movement and reflects response time: An fMRI decoding study. NeuroImage 183: 584-596 (2018) - [c18]Tomoki Semoto, Isao Nambu, Yasuhiro Wada
The Relationship Between the Movement Difficulty and Brain Activity Before Arm Movements. ICONIP (7) 2018: 522-529 - [c17]Yuki Onodera, Isao Nambu, Yasuhiro Wada
Influence of Difference of Spatial Information Obtained from a Moving Virtual Sound Presentation on Auditory BCI. ICONIP (7) 2018: 577-584 - 2017
- [j4]Eduardo Carabez
Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer Interfaces. Comput. Intell. Neurosci. 2017: 8163949:1-8163949:9 (2017) - [j3]Isao Nambu
Detecting Motor Learning-Related fNIRS Activity by Applying Removal of Systemic Interferences. IEICE Trans. Inf. Syst. 100-D(1): 242-245 (2017) - [c16]Hiroshi Yokoyama
Electromyogram Activation Reflects Property of Isochrony Phenomenon During Cyclic Human Arm Movement. ICONIP (6) 2017: 3-10 - [c15]Yuta Oda, Takanori Sato, Isao Nambu
Real-Time Scalp-Hemodynamics Artifact Reduction Using a Sliding-Window General Linear Model: A Functional Near-Infrared Spectroscopy Study. ICONIP (4) 2017: 694-701 - [c14]Eduardo Carabez, Miho Sugi, Isao Nambu
Single trial P300 identification for an auditory BCI: Implementation of a 3D input for convolutional neural networks. SMC 2017: 228-233 - [c13]Misaki Takeda
Joint torques are associated with speed-accuracy trade-offs during human reaching movements. SMC 2017: 764-769 - [c12]Satoshi Kojima, Misaki Takeda
Relations between required accuracy and muscle synergy in isometric contraction tasks. SMC 2017: 1191-1195 - [c11]Miho Sugi, Isao Nambu
A two-target paradigm for an auditory brain-computer interface: A preliminary study. SMC 2017: 2454-2458 - [c10]Tetsuro Hayashi, Hiroshi Yokoyama, Isao Nambu
Prediction of individual finger movements for motor execution and imagery: An EEG study. SMC 2017: 3020-3023 - 2016
- [j2]Takanori Sato, Isao Nambu
Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes. NeuroImage 141: 120-132 (2016) - [c9]Hiep Vu Nguyen Sy, Isao Nambu
The adjustment of muscle synergy recruitment by controlling muscle contraction during the reaching movement. SMC 2016: 756-761 - 2015
- [c8]Toshiki Kusano, Hiroki Kurashige, Isao Nambu
Resting-state brain activity in the motor cortex reflects task-induced activity: A multi-voxel pattern analysis. EMBC 2015: 4290-4293 - 2014
- [c7]Hiroshi Yokoyama, Isao Nambu
Temporal changes of beta rhythms and rotation-related negativity reflect switches in motor imagery. EMBC 2014: 1326-1329 - [c6]Shota Yamane, Isao Nambu
Predicting occurrence of errors during a Go/No-Go task from EEG signals using Support Vector Machine. EMBC 2014: 4944-4947 - 2013
- [c5]Alejandro González, Isao Nambu
Towards the Classification of Single-Trial Event-Related Potentials Using Adapted Wavelets and Particle Swarm Optimization. SMC 2013: 3089-3094 - [c4]Manabu Washizu, Shuhei Morioka, Isao Nambu
Improving the Localization Accuracy of Virtual Sound Source through Reinforcement Learning. SMC 2013: 4378-4383 - 2012
- [c3]Takanori Sato, Yasuyuki Muto, Isao Nambu
Estimation of force direction from functional near-infrared spectroscopy signals using sparse logistic regression. EMBC 2012: 4639-4642 - [c2]Takahiro Imai, Takanori Sato, Isao Nambu
Estimating Brain Activity of Motor Learning by Using fNIRS-GLM Analysis. ICONIP (1) 2012: 401-408 - [c1]Shuhei Morioka, Isao Nambu
Adaptive Modeling of HRTFs Based on Reinforcement Learning. ICONIP (4) 2012: 423-430
2000 – 2009
- 2009
- [j1]Isao Nambu
Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS). NeuroImage 47(2): 628-637 (2009)
Coauthor Index
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