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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-15 15:10 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
[Short Paper]
Imagining body movements promote convergent thinking Kairi Sugimoto, Katsumi Watanabe (Waseda Univ.)  IMQ2022-42 IE2022-119 MVE2022-72 |
Creativity is known to be influenced by body movement. In this study, we examined the effects of observing and imagining... [more] | IMQ2022-42 IE2022-119 MVE2022-72 pp.125-126 |
| NC, MBE (Joint) |
2023-03-14 14:45 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
On detection of different finger movement by cortical current estimated from EEG and fMRI Masanori Takaichi, Simon Kojima (SIT), Natsue Yoshimura (Tokyo Inst. Tech.), Shin'ichiro Kanoh (SIT) MBE2022-64 |
We investigated whether it is possible to detect the intention to move body parts such as fingers by focusing on the hig... [more] | MBE2022-64 pp.27-32 |
| HCS | 2023-01-21 10:25 |
Kyoto | Kyoto Institute of Technology (Primary: On-site, Secondary: Online) |
The effects of imagining and observing body movements on creative thinking Kairi Sugimoto, Katsumi Watanabe (Waseda Univ.) HCS2022-56 |
Divergent and convergent thinking in creativity are known to be influenced by body movement. In this study, we examined ... [more] | HCS2022-56 pp.7-11 |
| HIP | 2022-12-22 15:15 |
Miyagi | Research Institute of Electrical Communication (Primary: On-site, Secondary: Online) |
An investigation of appearance ratio and imagery properties of aphantasia Junichi Takahashi (Fukushima Univ.), Godai Saito (Tohoku Univ.), Kazufumi Omura (Yamagata Univ.), Daichi Yasunaga (Kanazawa Univ.), Shinichiro Sugimura (Hiroshima Univ.), Shuichi Sakamoto (Tohoku Univ.), Tomoyasu Horikawa (NTT), Jiro Gyoba (Shokei Gakuin Univ.) HIP2022-62 |
Aphantasia is a condition in which people with a normal perception have difficulty constructing imagery. By using an onl... [more] | HIP2022-62 pp.25-30 |
| ICD, SDM, ITE-IST [detail] | 2022-08-10 16:00 |
Online | IC with Integrated Imager and Ultra-Low Latency All-Digital In-Imager 2D Binary Convolutional Neural Network Accelerator for Image Classification Ruizhi Wang, Cheng-Hsuan Wu, Makoto Takamiya (The Univ. of Tokyo) SDM2022-53 ICD2022-21 |
In the field of real-time image recognition, the computing latency of convolutional neural network become an issue. In t... [more] | SDM2022-53 ICD2022-21 pp.87-92 |
|
| MBE, NC (Joint) |
2022-03-02 13:25 |
Online | Online | Development and evaluation of a neurofeedback system for motor-imagery based BCI Shuhei Oba, Simon Kojima, Shin'ichiro Kanoh (SIT) NC2021-52 |
A neurofeedback system to improve the user applicability of motor-imagery based BCI was proposed and evaluated in this s... [more] | NC2021-52 pp.30-35 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Detection of individual beats from EEG during rhythm imagination Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2021-92 SIP2021-119 SP2021-77 |
Rhythm is one element of music and is composed of several beats. It has been reported that evenly spaced beats and imagi... [more] | EA2021-92 SIP2021-119 SP2021-77 pp.177-182 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 11:40 |
Online | Online | Estimation of Imagined Rhythm and Its Active Area from Electroencephalogram Using Deep Learning Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2020-63 SIP2020-94 SP2020-28 |
Rhythm is one element of music, and it is known that rhythm perception and imagery appear in an electroencephalogram (EE... [more] | EA2020-63 SIP2020-94 SP2020-28 pp.21-26 |
| MBE, MICT | 2021-01-28 14:15 |
Online | Online | Electroencephalogram classification to motor imagery, execution, and observation of right index finger flexion using convolutional neural network Yugo Kuramura, Junya Takemoto, Tomohiko Igasaki (Kumamoto Univ.) MICT2020-24 MBE2020-29 |
We attempted to classify the EEG when the participants performed five tasks related to the right index finger flexion: k... [more] | MICT2020-24 MBE2020-29 pp.17-21 |
| SANE | 2021-01-28 16:10 |
Online | Online | Making a component of independent image transmission system and the evaluation of radiation tolerance Takumi Ozawa, Shinichi Kimura (TUS) SANE2020-44 |
In recent years, according to expansion of utilization of on-orbit image, requirement on real-time image utilization is ... [more] | SANE2020-44 pp.38-41 |
| SANE | 2021-01-29 11:45 |
Online | Online | Evaluation of Radiation Detection by Consumer CMOS sensor Masaru Shibata, Takayoshi Kohmura, Shinichi Kimura (TUS) SANE2020-49 |
With the advancement of human science and technology, astronomy developed rapidly, and various X-ray astronomical satell... [more] | SANE2020-49 pp.61-66 |
| NC, NLP (Joint) |
2021-01-22 09:40 |
Online | Online | On decoding left-right movement intention of single arm from EEG Mitsuhiko Inaba, Kazushi Ikeda (NAIST), Motoaki Kawanabe (ATR) NC2020-35 |
Brain-machine interface (BMI) is a technology that supports people by manipulating external devices using only changes i... [more] | NC2020-35 pp.18-23 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 17:10 |
Online | Online | A Study on the Effects of Neurofeedback Training for Motor Imagery
-- A New Neurofeedback based on Riemannian Geometry -- Ruopeng Wang (Nagoya Univ.), Tomohiro Yoshikawa (SUMS) NC2020-26 |
Motor Imagery, which is a mental simulation of a kinesthetic movement, can also modulate mu rhythm activities in the sen... [more] | NC2020-26 pp.95-99 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Decoding of Non-Isochronous Rhythms Imagery from EEG Using Convolutional Neural Network Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2019-153 SIP2019-155 SP2019-102 |
Rhythm is one element of music, and it is known that rhythm perception and imagery appear in electroencephalogram (EEG).... [more] | EA2019-153 SIP2019-155 SP2019-102 pp.301-306 |
| WIT, SP | 2019-10-27 09:00 |
Kagoshima | Daiichi Institute of Technology | Extraction of linguistic representation and syllable recognition from EEG signal of speech-imagery Kentaro Fukai, Hidefumi Ohmura, Kouichi Katsurada (Tokyo Univ. of Science), Satoka Hirata, Yurie Iribe (Aichi Prefectural Univ.), Mingchua Fu, Ryo Taguchi (Nagoya Inst. of Technology), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Technology) SP2019-28 WIT2019-27 |
Speech imagery recognition from Electroencephalogram (EEG) is one of the challenging technologies for non-invasive brain... [more] | SP2019-28 WIT2019-27 pp.63-68 |
| WIT, SP | 2019-10-27 09:20 |
Kagoshima | Daiichi Institute of Technology | Word Recognition using word likelihood vector from speech-imagery EEG Satoka Hirata, Yurie Iribe (Aichi Prefectual Univ.), Kentaro Fukai, Kouichi Katsurada (Tokyo Univ. of Science), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Tech.) SP2019-29 WIT2019-28 |
Previous research suggests that humans manipulate the machine using their electroencephalogram called BCI （Brain Compute... [more] | SP2019-29 WIT2019-28 pp.69-73 |
| HIP | 2019-03-09 17:40 |
Kochi | Characteristics of motor imagery in young adults Kohei Kotegawa (Kumamoto Univ./Kumamoto Health Science Univ.), Akira Yasumura, Wataru Teramoto (Kumamoto Univ.) HIP2018-89 |
Motor imagery is a mental process that simulates actions without actual motor execution. The present study investigated ... [more] | HIP2018-89 pp.33-36 |
|
| MBE | 2019-01-31 15:25 |
Saga | Saga University | Investigation of visual guidance method of motor imagery for upper limb BCI rehabilitation Kohei Tsutsumi, Fumiya Sanuki, Keiji Iramina (Kyushu Univ.) MBE2018-67 |
Recently, a rehabilitation method using Brain-Computer Interface (BCI) has been actively researched as a method for rest... [more] | MBE2018-67 pp.45-49 |
| SCE | 2018-10-10 15:50 |
Miyagi | A real-time photon imager by a 64-pixel superconducting nanowire single photon detectors array Shigeyuki Miyajima, Masahiro Yabuno (NICT), Shigehito Miki (NICT/Kobe Univ.), Hirotaka Terai (NICT) SCE2018-20 |
We demonstrate a real-time photon imager composed of an array of superconducting nanowire single photon detectors (SSPDs... [more] | SCE2018-20 pp.19-24 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:00 |
Okinawa | [Poster Presentation]
Investigation of Brain Magnetic Fields Associated with Sound Imagery
-- Speech and Pure Tone with Similar Envelopes -- Shihomi Uzawa (Kobe Univ./AIST), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Yoshiharu Soeta (AIST), Seiji Nakagawa (Chiba Univ./AIST) EA2017-115 SIP2017-124 SP2017-98 |
Brain computer interface (BCI) technologies, which enable direct communication between the brain and external devices, h... [more] | EA2017-115 SIP2017-124 SP2017-98 pp.81-86 |
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