出身大学 【 表示 ／ 非表示 】

出身大学 【 表示 ／ 非表示 】

出身大学院 【 表示 ／ 非表示 】

出身大学院 【 表示 ／ 非表示 】

取得学位 【 表示 ／ 非表示 】

取得学位 【 表示 ／ 非表示 】

学内職務経歴 【 表示 ／ 非表示 】

学内職務経歴 【 表示 ／ 非表示 】

学外略歴 【 表示 ／ 非表示 】

学外略歴 【 表示 ／ 非表示 】

全件表示 >>

所属学会・委員会 【 表示 ／ 非表示 】

所属学会・委員会 【 表示 ／ 非表示 】

専門分野（科研費分類） 【 表示 ／ 非表示 】

専門分野（科研費分類） 【 表示 ／ 非表示 】

研究経歴 【 表示 ／ 非表示 】

研究経歴 【 表示 ／ 非表示 】

• アナログ集積回路

  アナログ集積回路  

  研究期間： 2010年04月  -  継続中

• 再構成可能なデータコンバータ

  再構成可能なデータコンバータ回路  

  研究期間： 2008年04月  -  継続中

• 生体信号センサーの開発

  味覚センサー,システムLSI,アナログ回路  

  研究期間： 2007年04月  -  継続中

• 確率共鳴法による信号処理

  信号処理,確率共鳴,アナログ回路  

  研究期間： 2015年04月  -  継続中

論文 【 表示 ／ 非表示 】

論文 【 表示 ／ 非表示 】

• On Near-Infrared Optical Properties of Ethanol for a Wearable Blood Alcohol Sensor

  Kenichi Nakashi, Shintaro Tanimoto, Kenji Nagayoshi

  Proceedings of 2020 IEEE 9th Global Conference on Consumer Electronics  ( IEEE Consumer Technology Society )    330 - 332   2020年10月  [査読有り]

  日本  神戸  2020年10月  -  2020年10月

   概要を見る

  There are a lot of social problems related to alcohol. To solve them, we are developing a non-invasive, wearable device that measures the blood alcohol concentration using near-infrared lights of the two specific wavelengths, one responds to alcohol remarkably, and the other does less. The purpose of this work is to determine such two particular wavelengths. By measuring a near-infrared spectrum of the binary mixture solution of ethanol and water, and taking LED (Light Emitting Diode) and PD (Photo Diode) characteristics into account, 890 nm for the sample and 870 nm for the reference are the suitable wavelength combinations to measure alcohol.

• Study on mistype correction support using attention in Japanese input

  Komatsu R., Hirakawa R., Kawano H., Nakashi K., Nakatoh Y.

  Digest of Technical Papers - IEEE International Conference on Consumer Electronics    2020-January   2020年01月  [査読有り]

   概要を見る

  © 2020 IEEE. How to input characters without mistakes is one of very important points for the interface, when we consider usability of electronic devices such as personal computers and smartphones. Therefore, in this paper, we examine whether we can classify mistypes for Japanese input and inform the users how they make mistakes using 'Attention' and 'LSTM' of machine learning methods. First, we classified the category of mistypes in Japanese input into seven types (Replacement, Removal, Exchange, Insertion, Involvement, Repetition). Second, we asked subjects to input the displayed words and collected their data. Next, we classified the data and labeled it. Finally, we made the Neural Network (LSTM + Attention) to classify the mistype data and inform how they make mistakes. As a result, the correct answer rate of the Neural Network (LSTM + Attention) was about 70% and we were able to know where point the Neural Network focus on by putting in 'Attention'. We are planning to use 'LSTM' to correct mistype directly and use 'Attention' to inform how they frequently make mistakes in the future.

  DOI Scopus

• Electrolarynx system using voice conversion based on WaveRNN

  Urabe E., Hirakawa R., Kawano H., Nakashi K., Nakatoh Y.

  Digest of Technical Papers - IEEE International Conference on Consumer Electronics    2020-January   2020年01月  [査読有り]

   概要を見る

  © 2020 IEEE. Voice is very important in our daily life. However, some people cannot speak because of throat surgery. Electrolarynx (EL) is a way for them to speak again but this voice is flat and noisy like a buzzer. Therefore, we propose a new Electrolarynx system based on WaveRNN. When we use it, the EL voice is converted into a voice close to the natural voice. We assume that this system will be provided as a smartphone application. In the experiment, we evaluated the converted voice by the system and found that naturalness improved.

  DOI Scopus

• Discussion on differences in frequency band required for horizontal sound localization by age

  Okuno T., Hirakawa R., Kawano H., Nakashi K., Nakatoh Y.

  ACM International Conference Proceeding Series      2019年05月  [査読有り]

   概要を見る

  © 2019 Association for Computing Machinery. In this paper, the horizontal sound image experiment of the real sound source was performed under the head resting condition using the band - limited noise using the low pass filter and the band pass filter. Then, the effect of each frequency band on direction perception of the hearing person and the elderly person was clarified. Five people with healthy men in their twenties and five elderly people in their 70s male hearing white noise pass through low-pass filters (2, 3, 4, 5, 6 kHz) and band-pass filters (1-4, 2-4, 2-5 [kHz]) passed through the directional perception experiment. As a result, similarly to the previous study [1], it is difficult to perceive directions sufficiently if two or more frequency bands are included, and it is difficult to perceive the direction of band-pass noise through a band-pass filter of a narrow frequency band. As a result of this research, Direction perception was found that the frequency band around 4 [kHz] and 6 [kHz] is small as an element of direction perception and the frequency band around 5 [kHz] is an important clue for direction perception.

  DOI Scopus

• Study on watching system for door-to-door sales detection and risk determination

  Hirakawa R., Kawano H., Nakashi K., Nakatoh Y.

  ACM International Conference Proceeding Series      2019年05月  [査読有り]

   概要を見る

  © 2019 Association for Computing Machinery. In recent years, malicious visit sales are increasing in Japan, targeting elderly people living alone and dementia patients. Since it is difficult for them to deal with problems with their own power, it is necessary for surrounding people to support damage deterrence. So, we aim to realize a watching system that anyone can use if there is only a smart speaker. In this study, we propose a method to detect door-to-door sales from conversation information of elderly people and visitors with the aim of realizing a system to prevent elderly consumers' troubles. In the evaluation experiment, we evaluate how accurately door-to-door sales can be detected out of the conversation dataset. In addition, we try to determine the risk degree by learning the door-to-door sales sample data given the risk label.

  DOI Scopus

全件表示 >>

口頭発表・ポスター発表等 【 表示 ／ 非表示 】

口頭発表・ポスター発表等 【 表示 ／ 非表示 】

• On Near-Infrared Optical Properties of Ethanol for a Wearable Blood Alcohol Sensor

  Kenichi Nakashi, Shintaro Tanimoto, Kenji Nagayoshi

  2020 IEEE 9th Global Conference on Consumer Electronics  (Kobe, Hyogo Japan)  2020年10月  -  2020年10月    IEEE Consumer Technology Society

   概要を見る

  There are a lot of social problems related to alcohol. To solve them, we are developing a non-invasive, wearable device that measures the blood alcohol concentration using near-infrared lights of the two specific wavelengths, one responds to alcohol remarkably, and the other does less. The purpose of this work is to determine such two particular wavelengths. By measuring a near-infrared spectrum of the binary mixture solution of ethanol and water, and taking LED (Light Emitting Diode) and PD (Photo Diode) characteristics into account, 890 nm for the sample and 870 nm for the reference are the suitable wavelength combinations to measure alcohol.

• 心拍変動の解析を目的としたR波測定システムの検討

  下田航大,中司賢一

  第73回電気・情報関係学会九州支部連合大会  (福岡市)  2020年09月  -  2020年09月   

• Study on Mistype Correction Support Using Attention in Japanese Input

  Ryuki Komatsu, Rin Hirakawa, Hideaki Kawano, Kenichi Nakashi, Yoshihisa Nakatoh

  2020 IEEE 38th International Conference on Consumer Electronics  (Las Vegas, U.S.A.)  2020年01月  -  2020年01月   

• Electrolarynx System Using Voice Conversion Based on WaveRNN

  Etsuro Urabe, Rin Hirakawa, Hideaki Kawano, Kenichi Nakashi, Yoshihisa Nakatoh

  2020 IEEE 38th International Conference on Consumer Electronics  (Las Vegas, U.S.A.)  2020年01月  -  2020年01月   

• 電車内アナウンス音声と周囲の会話を判別するための音響的特徴量の検討

  木下雄斗,中藤良久,平川凛,中司賢一,河野英昭

  第72回電気・情報関係学会九州支部連合大会  (北九州市)  2019年09月  -  2019年09月   

全件表示 >>

科研費獲得実績 【 表示 ／ 非表示 】

科研費獲得実績 【 表示 ／ 非表示 】

• 感性バイオセンサの開発

  基盤研究(S)

  研究期間:  2006年04月  -  2011年03月

  研究課題番号:  18106009

海外研究歴 【 表示 ／ 非表示 】

海外研究歴 【 表示 ／ 非表示 】

• Low-power, high-efficiency power supply systems and low-power integrated circuits design

  University of California at Berkeley  アメリカ合衆国  研究期間:  2000年04月  -  2001年03月

担当授業科目 【 表示 ／ 非表示 】

担当授業科目 【 表示 ／ 非表示 】

全件表示 >>

教育活動に関する受賞・指導学生の受賞など 【 表示 ／ 非表示 】

教育活動に関する受賞・指導学生の受賞など 【 表示 ／ 非表示 】

• 優秀ポスター賞

  2019年09月   2019年度（第72回）電気・情報関係学会九州支部連合大会