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Affiliation |
Engineering educational research section Electrical and Electronic Engineering Program |
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Professor |
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External Link |
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TAMURA Hiroki
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Degree 【 display / non-display 】
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Doctor (Engineering) ( 2006.1 Kyushu University )
Research Areas 【 display / non-display 】
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Informatics / Kansei informatics
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Informatics / Intelligent informatics
Papers 【 display / non-display 】
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Basic research for the realization of online MEG using SSD Reviewed
Kazuhiro Yagi, Yuta Shibahara, Lindsey Tate,Keiko Sakurai,Hiroki Tamura
The 2021 International Conference on Artificial Life and Robotics 2021.1
Language：English Publishing type：Research paper (international conference proceedings)
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Deep time-delay Markov network for prediction and modeling the stress and emotions state transition Reviewed
Prasetio B.H., Tamura H., Tanno K.
Scientific Reports 10 ( 1 ) 2020.12
Language：English Publishing type：Research paper (scientific journal) Publisher：Scientific Reports
© 2020, The Author(s). To recognize stress and emotion, most of the existing methods only observe and analyze speech patterns from present-time features. However, an emotion (especially for stress) can change because it was triggered by an event while speaking. To address this issue, we propose a novel method for predicting stress and emotions by analyzing prior emotional states. We named this method the deep time-delay Markov network (DTMN). Structurally, the proposed DTMN contains a hidden Markov model (HMM) and a time-delay neural network (TDNN). We evaluated the effectiveness of the proposed DTMN by comparing it with several state transition methods in predicting an emotional state from time-series (sequences) speech data of the SUSAS dataset. The experimental results show that the proposed DTMN can accurately predict present emotional states by outperforming the baseline systems in terms of the prediction error rate (PER). We then modeled the emotional state transition using a finite Markov chain based on the prediction result. We also conducted an ablation experiment to observe the effect of different HMM values and TDNN parameters on the prediction result and the computational training time of the proposed DTMN.
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Elderly monitoring and action recognition system using stereo depth camera Reviewed
Zin T.T., Htet Y., Akagi Y., Tamura H., Kondo K., Araki S.
2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020 316 - 317 2020.10
Language：English Publishing type：Research paper (international conference proceedings) Publisher：2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
© 2020 IEEE. The proposed system used stereo type depth camera by examining the human action recognition and also sleep monitoring in the elderly care center. Different regions of interest (ROI) are extracted using the U-Disparity and V-Disparity maps. The main information used for recognition is 3D human centroid height relative to the floor and percentage of movement from frame differencing for sleep monitoring. The results from the experiments of the proposed method show that this system can detect the person location, sitting or lying and also sleep behaviors effectively.
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Gunaratne P.N., Harshana R.L.A., Brian M.R., Amarasinghe Y.W.R., Jayaweera N., Tamura H., Jayawardane M.
ACM International Conference Proceeding Series 289 - 293 2020.9
Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：ACM International Conference Proceeding Series
© 2020 ACM. Dysfunctional Uterine Bleeding (DUB) is a common clinical problem that generally affects 20-30% of women in a society. This paper suggests a novel system for thermal balloon endometrial ablation, which allows the Endometrium to be destroyed, easily and safely with minimal menstrual blood loss and it prevents from having any severe blood loss and further anemic conditions that can occur in the future. It incorporates an innovative design and a multi-sensory feedback system with the purpose of making precise positioning of the ablation device inside the uterus. Further, it ensures a higher cost effectiveness by introducing the modularity into the system by keeping the clinical requirements at priority. A Single Board Computer (SBC) along with a microcontroller based control system were employed in order to control and maintain the required conditions inside the uterus, at their optimum levels while performing the operation. Apart from the commercially accepted set values for ablation related conditions, here the consultant/ caregiver was allowed to make changes based on the actual condition of the patient. Finally, all these assemblies were merged to innovate a single, handheld, wireless device. A numerical analysis was conducted based on the generally accepted conditions, to evaluate the depth of the endometrial tissue destruction on a modeled uterus. Further, the proposed system was tested on hysterectomized uteruses, and the performance of the developed model was validated using the obtained results.
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Shimauchi T., Sakurai K., Tate L., Tamura H.
Electronics (Switzerland) 9 ( 9 ) 1 - 15 2020.9
Language：English Publishing type：Research paper (scientific journal) Publisher：Electronics (Switzerland)
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Due to the population aging in Japan, more elderly people are retaining their driver’s licenses and the increase in the number of car accidents by elderly drivers is a social problem. To address this problem, an objective data-based method to evaluate whether elderly drivers can continue driving is needed. In this paper, we propose a car driving evaluation system based on gaze as calculated by eye and head angles. We used an eye tracking device (TalkEye Lite) made by the Takei Scientific Instruments Cooperation. For our image processing technique, we propose a gaze fixation condition using deep learning (YOLOv2-tiny). By using an eye tracking device and the proposed gaze fixation condition, we built a system where drivers could be evaluated during actual car operation. We describe our system in this paper. In order to evaluate our proposed method, we conducted experiments from November 2017 to November 2018 where elderly people were evaluated by our system while driving an actual car. The subjects were 22 general drivers (two were 80–89 years old, four were 70–79 years old, six were 60–69 years old, three were 50–59 years old, five were 40–49 years old and two were 30–39 years old). We compared the subjects’ gaze information with the subjective evaluation by a professional driving instructor. As a result, we confirm that the subjects’ gaze information is related to the subjective evaluation by the instructor.
Books 【 display / non-display 】
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自動運転のための高精度センシング技術
田村宏樹，櫻井啓子, 島内 匠（ Role： Contributor）
エヌ・ティー・エス 2020.11
Language：Japanese Book type：Scholarly book
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生体情報センシングと人の状態推定への応用
田村宏樹（ Role： Sole author）
NTS 2020.7
Language：Japanese Book type：Scholarly book
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Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology
Shangce Gao, Zheng Tang, and Hiroki Tamura（ Role： Joint author , Book Chapter ``Clonal selection algorithm and its application"）
IGI Global 2010.3
Language：Japanese Book type：Scholarly book
MISC 【 display / non-display 】
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労働者を対象としたロコモ予防のための体力・運動機能向上プログラム Invited
鶴田 来美,吉永 砂織,田村 宏樹,帖佐 悦男
Medical Science Digest 2019年 6月号 ( 6 ) 2019.5
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
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[解説] ヘルスケア機器とそれを支えるデバイス技術 Invited Reviewed
淡野 公一, 田村 宏樹
「システム／制御／情報」 61 ( 8 ) 334 - 339 2017.8
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
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介護・福祉への応用を目指した生体情報処理技術について
田村宏樹
看護人間工学研究誌 ( 16 ) 1 - 5 2016.3
Language：Japanese Publishing type：Research paper, summary (national, other academic conference) Publisher：日本人間工学会 看護人間工学部会
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ロコモ度の機器による評価は?
帖佐悦男, デン鋼, 田村宏樹, 山子剛,塩満智子, 鶴田来美
LOCO CURE vol.2 no.4(2016―運動器領域の医学情報誌 特集:ロコモをめぐる最新の話題 56 - 59 2016
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
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Robot and Neuroscience Technology: Computational and Engineering Approaches in Medicine Reviewed
Hiroki Tamura, Shangce Gao, Qixin Cao, Chuntao Leng, Hui Yu, Harold Szu
Computational Intelligence and Neuroscience 2016
Language：English Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
DOI： 10.1155/2016/5204510
Presentations 【 display / non-display 】
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表面筋電位を用いた咀嚼評価に関する研究
柴原優太（宮崎大）,菊谷 武,宮下大志（日本歯科大）, 田村宏樹（宮崎大）
電子情報通信学会 バイオメトリックス研究会
Event date： 2020.11.25
Language：Japanese Presentation type：Oral presentation (general)
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表面筋電位を用いた顔面神経麻痺評価に関する研究
山口幸太郎, 湯池俊子, 我那覇 章, 東野哲也, 田村宏樹
電子情報通信学会 バイオメトリックス研究会
Event date： 2020.11.25
Language：Japanese Presentation type：Oral presentation (general)
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学習機能をもつ物体追跡手法を用いた複数豚追跡に関する研究
古藤好美，千布流星，田村宏樹，淡野公一
電子情報通信学会 パターン認識・メディア理解研究会（PRMU）
Event date： 2019.3.1
Language：Japanese Presentation type：Oral presentation (general)
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圧電素子を用いた心拍・呼吸・体動計測システムとその応用に関する研究
吉田千香，田村宏樹，淡野公一，高橋伸弥
電子情報通信学会 パターン認識・メディア理解研究会（PRMU）
Event date： 2019.3.1
Language：Japanese Presentation type：Oral presentation (general)
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歩行計測機器による歩行状態とロコモティブシンドロームの関係について
田村 宏樹，鶴田 来美，帖佐 悦男
第45回日本臨床バイオメカニクス学会
Event date： 2018.11.16 - 2018.11.17
Language：Japanese Presentation type：Oral presentation (general)
Awards 【 display / non-display 】
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Sri Lankan Medical Association Innovation Award: Health Innovation for tomorrow -2020
2020.7 Sri Lankan Medical Association Design and fabricate the multifunctional medical bed with a remote patient monitoring system.
Manuka Suriyage, 他
Award type：Award from publisher, newspaper, foundation, etc. Country：Sri Lanka
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高等教育コンソーシアム「平成28年度公募型卒業研究テーマ成果発表会」最優秀賞
2017.3 高等教育コンソーシアム宮崎
日高 龍馬,程 玉,上田 将嗣,田村 宏樹
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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多値論理フォーラム奨励賞
2014.1 多値論理研究会
笹川善正, 田村宏樹, 外山貴子, 淡野公一
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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宮崎銀行ふるさと振興助成事業【学術研究部門】
2013.1 （財）みやぎん経済研究所
田村宏樹
Award type：Award from publisher, newspaper, foundation, etc. Country：Japan
Grant-in-Aid for Scientific Research 【 display / non-display 】
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圧電素子を用いた学習機能を有するベッド上での心拍・呼吸・体動検出システムの開発
2018.04 - 2021.03
科学研究費補助金 基盤研究(C)
Authorship：Principal investigator
本研究では、利用者のプライバシーと拘束性を考慮し、超薄型で高感度な圧電素子を用い、非接触でベッド上の人の呼吸・心拍信号の抽出が、どの程度の精度で抽出可能か検証する。
本研究の特徴としては、複数の圧電素子から取得した信号の処理方法と、ファジィ理論を応用した呼吸・心拍のカウント方法の提案であり、そのカウント結果を、医療機器を真値として、比較検証する。また、複数枚の圧電素子を用いることにより、ベッド上に加わっている重心位置及び、寝返りの回数などがわかる。さらに、ベッド上での体動パターンを識別する方法を提案し、離床直前の動作を識別することで、ベッドからの転倒危険度を事前に予測可能か検証する。本研究成果を用いることで、睡眠時の呼吸数、心拍数、体動を継続的にモニタリングし、睡眠時の無呼吸状態判定などの健康管理及び見守りが行うことができると期待できる。 -
難病患者生活の質向上のための眼電位を用いたマウスカーソル制御システムの開発
2011.04 - 2013.03
科学研究費補助金 若手研究(B)
Authorship：Principal investigator
本申請は、筋委縮性側策硬化症（ALS）患者や四肢麻痺患者を対象とし、眼電位を用いた自由度の高いパーソナルコンピュータのマウスカーソル制御装置の試作器の開発を行う。申請者の調査した範囲では、マウスを用いたマウスカーソル制御と同じレベルでの眼電位を用いたマウスカーソル制御システムは存在しない。開発したマウスカーソル制御装置でブラウザや市販されている文章作成ソフトをスムーズに制御することを本申請研究の最終目的としている。また、開発した装置を使用した際の操作性・ストレスを定量的に評価し、より利便性の高いインターフェイスの条件を明確にし、改善を行う。
本申請では、マウスカーソル制御装置の試作器を製作し、その試作器を使用する条件を健常者で事前評価して、最終的には実際の障がい者2名から3名でのモニタリングテストを実施する。