Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, BioX |
2015-03-19 17:10 |
Kanagawa |
|
Individual certification using facial feature points Takao Yoshinuma, Kazuhiro Fukui (Tsukuba Univ.) BioX2014-58 PRMU2014-178 |
In this paper, we propose an individual certification using facial feature points.The effectiveness of the proposed meth... [more] |
BioX2014-58 PRMU2014-178 pp.117-122 |
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-16 13:30 |
Kanagawa |
Tokyo Institute of Technology (Suzukakedai Campus) |
A Study on Speaker Recognition Method in Consideration of Speaking Style Differences in Lecture Speech Kota Nakatsuji (Doshisha Univ.), Masafumi Nishida (Nagoya Univ.), Seiichi Yamamoto (Doshisha Univ.) SP2014-123 |
Speaker recognition technology has been applied to achieve a variety of tasks such as minute taking and speaker search f... [more] |
SP2014-123 pp.141-146 |
MBE |
2014-06-13 15:45 |
Hokkaido |
Hokkaido Univerisity |
Using a thermal imaging sensor to detect falls during bathing Tomoya Miyasaka (Hokkaido Univ. of Science), Masanori Shoji (Little Snow), Toshiaki Tanaka (Univ. of Tokyo), Tadafumi Saga (Chino), Hirokazu Haruna, Takumi Ino, Yoshimi Tanahashi, Shiho Namba, Masaji Yamashita (Hokkaido Univ. of Science) MBE2014-25 |
The study investigated a system that uses a thermal-imaging sensor to ensure safety by detecting falls during and bathin... [more] |
MBE2014-25 pp.63-66 |
WIT |
2014-03-07 14:55 |
Ibaraki |
Kasuga Campus, Tsukuba University of Technology |
Improvement of Yes/No Communication Method for ALS Patients
-- Problems and Their Solutions Through Case Studies -- Kuniaki Ozawa, Junko Sengoku, Masayoshi Naito (TWCU), Isamu Ogata, Tsuneo Kanazawa (Excel of Mechatronix) WIT2013-74 |
An Yes/No communication method has been studied for ALS(Amyotrophic Lateral Sclerosis) patients with no movement of thei... [more] |
WIT2013-74 pp.43-48 |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2014-02-17 12:00 |
Hokkaido |
Hokkaido Univ. |
LED Array Acquisition Method Based on Time-gradient and Space-gradient Values for Road to Vehicle Visible Light Communication Using High-Speed Camera Syunsuke Usui, Takaya Yamazato, Hiraku Okada, Toshiaki Fujii, Keita Takahashi (Nagoya Univ.), Shintaro Arai (Kagawa National Col. of Tech.), Tomohiro Yendo (Nagaoka Univ. of Tech.) ITS2013-39 IE2013-104 |
This paper focuses on road-to-vehicle visible light
communication using an LED array as a transmitter
and a high-speed... [more] |
ITS2013-39 IE2013-104 pp.55-60 |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2014-02-17 14:05 |
Hokkaido |
Hokkaido Univ. |
Still image coding method based on the structural classification using ICA Kazuya Kawamura, Masashi Kameda (Iwate Pref. Univ.) ITS2013-43 IE2013-108 |
An encoded image using DCT has the problem that visual quality is deteriorated when the data compression ratio is higher... [more] |
ITS2013-43 IE2013-108 pp.79-84 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2013-09-02 11:00 |
Tottori |
|
Statistical face shape model separating inter-individual variation from intra-individual variation Shinichi Kojima (TCRDL) PRMU2013-35 IBISML2013-15 |
Point Distribution Model is a shape model of Active Appearance Models used in face image processing, that is
represente... [more] |
PRMU2013-35 IBISML2013-15 pp.13-18 |
WIT |
2013-08-30 13:00 |
Hokkaido |
Graduate School of Information Science and Technology Bldg. |
Yes/No Communication Method for ALS Patients Using Their Biosignals
-- A Comparative Study Between Discriminant Analysis Method and Support Vector Machine -- Kuniaki Ozawa, Junko Sengoku, Masayoshi Naito (TWCU), Isamu Ogata, Tsuneo Kanazawa (Excel of Mechatronics) WIT2013-35 |
Yes/No communication method is studied for ALS(Amyotrophic Lateral Sclerosis) patients who are unable to move their bodi... [more] |
WIT2013-35 pp.65-70 |
HCS |
2013-08-24 15:30 |
Kyoto |
|
Yes/No Communication Method for ALS (Amyotrophic Lateral Sclerosis) Patients Using Their Biosignals Kuniaki Ozawa, Junko Sengoku, Masayoshi Naito (Tokyo Woman's Christian Univ.), Akiko Obata, Kunihiko Kido (Hitachi), Isamu Ogata, Tsuneo Kanazawa (EOM) HCS2013-45 |
An ‘yes/no’ communication method is studied for ALS patients who are unable to move their bodies. The method uses cerebr... [more] |
HCS2013-45 pp.67-71 |
PRMU |
2013-03-14 10:00 |
Tokyo |
|
Correction term of fisher discriminant analysis based on normal distribution Tatsuya Yokota (Tokyo Inst. of Tech.), Toru Wakahara (Hosei Univ.), Hitoshi Sakano (NTT), Yukihiko Yamashita (Tokyo Inst. of Tech.) PRMU2012-185 |
Fisher's linear discriminant is one of the most basic feature extraction methods for pattern recognition. However, even ... [more] |
PRMU2012-185 pp.31-36 |
MBE, NC (Joint) |
2013-03-14 15:05 |
Tokyo |
Tamagawa University |
Classification of EEG Auditory Steady State Responses Using Alpha Hironao Namba, Takashi Nakamura, Takashi Matsumoto (Waseda Univ.) MBE2012-104 |
One method of Brain-Computer Interfaces is to use subject’s attention to auditory stimuli. Recognition accuracy, however... [more] |
MBE2012-104 pp.79-82 |
PRMU, HIP |
2012-12-13 14:00 |
Yamagata |
|
High-Accuracy Clustering Using LDA for Fast Japanese Character Recognition Takahiro Sasaki, Hideaki Goto (Tohoku Univ.) PRMU2012-73 HIP2012-62 |
Recognizing text in natural scene images is very important to develop various systems such as an assis-
tant device for... [more] |
PRMU2012-73 HIP2012-62 pp.19-24 |
NLP |
2012-05-29 11:20 |
Akita |
Akita City Exchange Plaza |
Iterative Discriminant Analysis in Non-linear Space Yohei Takeuchi, Momoyo Ito, Minoru Fukumi (Tokushima Univ.) NLP2012-37 |
In pattern recognition, Fisher Linear Discriminant Analysis (FLDA) is one of the most effective feature extraction metho... [more] |
NLP2012-37 pp.59-64 |
PRMU, HIP |
2012-03-29 13:40 |
Hyogo |
|
Estimation of answer correctness for recall tests with eye movements using hidden Markov models Naoya Takahashi, Minoru Nakayama (TITech) PRMU2011-253 HIP2011-81 |
In this study, A model-based approach was proposed to estimate users' contextual understanding from features of their ey... [more] |
PRMU2011-253 HIP2011-81 pp.77-82 |
IBISML |
2012-03-13 10:00 |
Tokyo |
The Institute of Statistical Mathematics |
On d-consistency for high-dimensional discrimination analysis Takanori Ayano (Osaka Univ.) IBISML2011-99 |
Recently, in many fields such as microarray analysis, we need to analyze high-dimensional data with small sample sizes. ... [more] |
IBISML2011-99 pp.85-88 |
HIP |
2011-07-23 10:30 |
Toyama |
|
The Complicated Hand Shapes Recognition with EMG during Playing the Instruments Masafumi Mizuguchi, Hideaki Touyama (Toyama Prefectural Univ.) HIP2011-27 |
Recently, aiming the entertainment use, studies on ElectroMyoGram (EMG) have been more and more investigated. In this pa... [more] |
HIP2011-27 pp.1-4 |
PRMU |
2011-03-11 16:00 |
Ibaraki |
|
Robustness of ear recognition against pose variation Koji Soma, Daishi Watabe, Zichong Huang, Hideyasu Sai, Katsuhiro Sakai (Saitama Inst. of Tech.), Osamu Nakamura (KOGAKUIN Univ) PRMU2010-289 |
A robust ear recognition algorithm against pose variation is proposed. [more] |
PRMU2010-289 pp.305-310 |
HCGSYMPO (2nd) |
2010-12-15 - 2010-12-17 |
Miyazaki |
Miyazaki Seagai resort |
Proposal and assessment experiment of action classification using distinction analysis method Shunta Ichikawa, Minghui Liu, Shigenori Ioroi, Hiroshi Tanaka (KAIT) |
This paper presents the method to classify the action in the room by using acceleration sensor. The seven actions such a... [more] |
|
MI |
2010-11-15 15:05 |
Kyoto |
Shimadzu Corp. |
Discriminant analysis of bipoalar disorder and monopolar depressive patients using an image processing of a tree-drawing test Toru Fujiwara, Shuhei Miyata, Hironori Kawano, Masahiko Shinno (Shinshinkai) MI2010-77 |
In this paper, we present the method of distinguishing between bipolar disorder and monoplar depressive using a tree-dra... [more] |
MI2010-77 pp.63-66 |
IBISML, PRMU, IPSJ-CVIM [detail] |
2010-09-06 13:40 |
Fukuoka |
Fukuoka Univ. |
[Fellow Memorial Lecture]
- Takio Kurita (Hiroshima Univ.) PRMU2010-84 IBISML2010-56 |
Linear Discriminant Analysis (LDA) is one of the well known methods to extract good features for classification. Otsu de... [more] |
PRMU2010-84 IBISML2010-56 pp.209-214 |