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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Examination of EEG preprocessing method using temporal characteristics of visual evoked potentials
Kazuhiko Goto (TMCIT) MBE2022-17
Visual evoked potentials (VEP) amplitudes are lower than EEG and artifacts, so the recorded data contain a mixture of VE... [more] MBE2022-17
Kyoto   Validity Evaluation of Electrogastrography Generated with a Mathematical Model and Extraction Accuracy Evaluation of Gastric Electrical Activity Using Ensemble Empirical Mode Decomposition
Masahiro Tatsuta, Ryo Kato, Kosuke Sasaki, Masaki Kyoso (Tokyo City Univ.) MBE2018-44
Our final goal is to develop an Electrogastrogram (EGG) signal extraction method aimed at evaluating autonomic nervous a... [more] MBE2018-44
IBISML 2017-11-10
Tokyo Univ. of Tokyo Feature Extraction Using Empirical Mode Decomposition for Tire Sensing
Keita Ishii, Takato Goto (BS), Matsui Tomoko (ISM), Gareth Peters (HW), Nourddine Azzaoui (UCA) IBISML2017-78
This paper describes a novel feature-extraction method for classifying road conditions by using acceleration signals tha... [more] IBISML2017-78
- 2015-12-18
Toyama Toyama International Conference Center Detection of Smiling and Talking for Estimating QoL of Dementia Patients
Sako Shoichiro, Kondo Kazuaki, Nakamura Yuichi (Kyoto Univ.), Matsuoka Yoshiaki (Aino Univ.), Ohtsuka Tomotake (Nishikagawa Hospital)
The purpose of this research is to realize a system that
automatically estimates Quality of Life (QOL) of a dementia
... [more]

SIS 2015-06-08
Nagasaki Arkas SASEBO Generation of Learning Images Using the Bi-dimensional Empirical Mode Decomposition in Facial recognition
Teruaki Fujiyoshi (NIT, Kurume College), Kuntpong Woraratpanya (KMITL), Yoshimitsu Kuroki (NIT, Kurume College) SIS2015-5
The Empirical Mode Decomposition (EMD) divides a signal into narrowband signals called Intrinsic Mode Function (IMF), an... [more] SIS2015-5
Okayama Okayama University Synchronization Analysis using the Hilbert Huang Coherence
Eiji Kondo, Yuya Nakahira, Masatake Akutagawa, Takahiro Emoto (Univ. of Tokushima), Yoshio Kaji (Tokushima Bunri Univ.), Fumio Shichijo (Suzue Hosp.), Kazuhiko Furukawa (Naruto Hosp.), Hirofumi Nagashino, Shinsuke Konaka, Yohsuke Kinouchi (Univ. of Tokushima) MBE2014-29
In previous studies, the Hilbert Huang Coherence(HHC) for analyzing the degree of synchronization by using a Hilbert Hua... [more] MBE2014-29
SP, WIT, ASJ-H 2014-06-19
Ishikawa   Adaptive Speech Analysis Method Using Multivariate Empirical Mode Decomposition in Frequency Domain
Surasak Boonkla, Masashi Unoki (JAIST) SP2014-54 WIT2014-9
In this paper, we propose a novel method for speech analysis using multivariate empirical mode decomposition (MEMD) base... [more] SP2014-54 WIT2014-9
Tokushima The University of Tokushima Analysis of EEG synchronization during bimanual tapping using the Hilbert-Huang transform
Masatake Akutagawa, Yuya Nakahira, Takahiro Emoto (Univ. of Tokushima), Yoshio Kaji (Tokushima Bunri Univ.), Fumio Shichijo (Suzue Hosp.), Kazuhiko Furukawa (Naruto Hosp.), Hirofumi Nagashino, Shinsuke Konaka, Yohsuke Kinouchi (Univ. of Tokushima) MBE2013-31
Activities of the supplementary motor area are synchronized to that of the primary motor cortex during complicated biman... [more] MBE2013-31
EA, SP, SIP 2012-05-24
Osaka Osaka Univ. Nakanoshima Center Development of Robust Voice Activity Detection using Empirical Mode Decomposition and Modulation Spectrum Analysis
Yasuaki Kanai, Masashi Unoki (JAIST) EA2012-1 SIP2012-1 SP2012-1
Voice activity detection (VAD) is used to detect speech/non—speech periods in observed signals. However, current V... [more] EA2012-1 SIP2012-1 SP2012-1
SIS 2012-03-01
Tokyo Shibuya Satellite Class, Tokyo City Univ. Image Attribute Class Detection by Using the EMD
Hironobu Fukai (RITS), Yasue Mitsukura, Nozomu Hamada (KEIO) SIS2011-53
In this paper, we describe a novel age and gender estimation using an empirical mode decomposition.
Recently, an empiri... [more]
SIS 2012-03-02
Tokyo Shibuya Satellite Class, Tokyo City Univ. Facial wrinkle detection using empirical mode deomposition
Yoshinari Wakamiya, Koichi Takahashi, Yasue Mitsukura, Nozomu Hamada (Keio Univ.) SIS2011-67
For advanced human--computer interaction, recognizing subtle facial expressions is the important challenge.It seems to b... [more] SIS2011-67
EA, SIP, SP 2009-05-29
Hyogo   Robust estimation of fundamental frequencies of speech signals in noisy environments based on signal filtering by empirical mode decomposition
Tetsuya Matsuda, Keikichi Hirose, Nobuaki Minematsu (Univ. of Tokyo) EA2009-10 SIP2009-10 SP2009-15
A number of methods have already been developed for the estimation of fundamental frequencies of speech signals. However... [more] EA2009-10 SIP2009-10 SP2009-15
SIP, RCS 2009-01-23
Kumamoto Kumamoto University Illumination artifact removal using bidimensional empirical mode decomposition
Takeshi Oya, Toshihisa Tanaka (TUAT) SIP2008-161 RCS2008-209
Images commonly contain some illumination artifacts. When we apply object recognition algorithms for those images, the p... [more] SIP2008-161 RCS2008-209
NC 2008-01-16
Hokkaido Centennial Hall, Hokkaido Univ. Apparent Age Estimation by Using the Empirical Mode Decomposition
Hironobu Fukai (TUAT), Hironori Takimoto (Sasebo National College of Tech.), Yasue Mitsukura, Toshihisa Tanaka (TUAT), Minoru Fukumi (The Univ. of Tokushima) NC2007-108
In this paper, we propose the age feature extraction method by the empirical mode decomposition (EMD). The EMD is one of... [more] NC2007-108
SIP, SIS, SP 2007-09-28
Aichi Nagoya Inst. of Tech. DCT-EMD Based Hybrid Soft-Thresholding Technique with a Sub-band Approach for Speech Enhancement
Erhan Deger, Md. Khademul Islam Molla, Keikichi Hirose, Nobuaki Minematsu (Univ. Tokyo) SIP2007-96 SIS2007-32 SP2007-58
This paper presents a two-stage soft-thresholding algorithm based on Discrete Cosine Transform (DCT) and Empirical Mode ... [more] SIP2007-96 SIS2007-32 SP2007-58
 Results 1 - 15 of 15  /   
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