Hiroshi Higashi

J-GLOBAL         Last updated: Sep 11, 2018 at 12:21
 
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Name
Hiroshi Higashi
Affiliation
Kyoto University
Research funding number
70734474

Research Areas

 
 

Academic & Professional Experience

 
Aug 2018
 - 
Today
Assistant Professor, Graduate School of Informatics, Kyoto University
 
Apr 2014
 - 
Jul 2018
Assistant Professor, Graduate School of Engineering, Toyohashi University of Technology
 

Education

 
Apr 2007
 - 
Mar 2013
Tokyo University of Agriculture and Technology
 
Apr 2002
 - 
Mar 2007
The Department of Electrical Engineering, Miyakojo College, National Institute of Technology
 

Published Papers

 
Hideki Tamura, Hiroshi Higashi, Shigeki Nakauchi
Scientific Reports   8    Dec 2018   [Refereed]
© 2018 The Author(s). Mirror materials (perfect specular surfaces such as polished metal) and glass materials (transparent and refraction media) are quite commonly encountered in everyday life. The human visual system can discriminate these comple...
Hiroshi Higashi, Tetsuto Minami, Tetsuto Minami, Shigeki Nakauchi
Frontiers in Human Neuroscience   11    Feb 2017   [Refereed]
© 2017 Higashi, Minami and Nakauchi. The probability of an event’s occurrence affects event-related potentials (ERPs) on electroencephalograms. The relation between probability and potentials has been discussed by using a quantity called surprise ...
Hiroshi Higashi, Tomasz M. Rutkowski, Toshihisa Tanaka, Yuichi Tanaka
IEEE Journal on Selected Topics in Signal Processing   10(7) 1305   Oct 2016   [Refereed]
© 2016 IEEE.The classification accuracy of a brain-computer interface (BCI) frequently suffers from ill-posed and overfitting problems. To avoid and alleviate these problems, we propose a method of a multilinear discriminant analysis with constrai...
Hiroshi Higashi, Gamal M. ElMasry, Shigeki Nakauchi
Chemometrics and Intelligent Laboratory Systems   154 37   May 2016   [Refereed]
© 2016 Elsevier B.V.This paper tested various regression models (PLS, Ridge, Lasso, and sparse group Lasso) to select the appropriate fluorescence wavelengths/variables in excitation-emission matrices (EEMs) to improve the prediction of food ident...
Naoki Tomida, Toshihisa Tanaka, Shunsuke Ono, Masao Yamagishi, Hiroshi Higashi
IEEE Transactions on Biomedical Engineering   62(2) 458-467   Feb 2015   [Refereed]
© 2014 IEEE. Rejecting or selecting data from multiple trials of electroencephalography (EEG) recordings is crucial. We propose a sparsity-aware method to data selection from a set of multiple EEG recordings during motor-imagery tasks, aiming at b...
Hiroshi Higashi, Toshihisa Tanaka
Computational Intelligence and Neuroscience   2013    Dec 2013   [Refereed]
For efficient decoding of brain activities in analyzing brain function with an application to brain machine interfacing (BMI), we address a problem of how to determine spatial weights (spatial patterns), bandpass filters (frequency patterns), and ...
Yosuke Kimura, Toshihisa Tanaka, Hiroshi Higashi, Naoki Morikawa
IEEE Transactions on Biomedical Engineering   60(10) 2831-2838   Sep 2013   [Refereed]
A brain-computer interface (BCI) based on steady-state visual-evoked potentials (SSVEP) has two difficulties: limitation of the number of commands and uneven probabilities of command execution. To address these problems, the present paper proposes...
Hiroshi Higashi, Toshihisa Tanaka
IEEE Transactions on Biomedical Engineering   60(4) 1100-1110   Apr 2013   [Refereed]
The spatial weights for electrodes called common spatial pattern (CSP) are known to be effective in EEG signal classification for motor imagery-based brain-computer interface (MI-BCI). To achieve accurate classification in CSP, it is necessary to ...

Conference Activities & Talks

 
Hiroshi Higashi, Hiroshi Higashi, Tomasz M. Rutkowski, Tomasz M. Rutkowski, Toshihisa Tanaka, Toshihisa Tanaka, Yuichi Tanaka
2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016   17 Jan 2017   
© 2016 Asia Pacific Signal and Information Processing Association. The xDAWN algorithm is well-known as a method for designing spatial filters to improve signal-to-noise ratio and to reduce the dimension of observed EEG signals. This paper propose...
Taisei Kondo, Hiroshi Higashi, Shigeki Nakauchi
4th IGNITE Conference and 2016 International Conference on Advanced Informatics: Concepts, Theory and Application, ICAICTA 2016   30 Dec 2016   
© 2016 IEEE. Carrying out accurate visual inspection to remove the foreign substances is a crucial issue in food industry. Also in jam factories, the visual inspection by inspectors has been strengthened. However, it is difficult to remove the for...
Kazuya Ito, Hiroshi Higashi, Shigeki Nakauchi
4th IGNITE Conference and 2016 International Conference on Advanced Informatics: Concepts, Theory and Application, ICAICTA 2016   30 Dec 2016   
© 2016 IEEE. The goal of this study is to develop a method for the visualization of the distribution of the contamination of the human hands by using fluorescent spectrum. To archive this, we first found the optimal combinations of the excitation ...
Shingo Ryu, Hiroshi Higashi, Toshihisa Tanaka, Shigeki Nakauchi, Tetsuto Minami
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS   13 Oct 2016   
© 2016 IEEE.Brain computer interface (BCI) is a system for communication between people and computers via brain activity. Steady-state visual evoked potentials (SSVEPs), a brain response observed in EEG, are evoked by flickering stimuli. SSVEP is ...
Hiroshi Higashi, Hiroshi Higashi, Tomasz M. Rutkowski, Tomasz M. Rutkowski, Toshihisa Tanaka, Toshihisa Tanaka, Yuichi Tanaka
2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015   19 Feb 2016   
© 2015 Asia-Pacific Signal and Information Processing Association.Classification in brain computer interfaces (BCIs) frequently suffers from small sample problem which leads an ill-posed problem and overfitting/overtraining. To avoid and reduce th...