AKIRA FURUI

Last Updated :2021/05/10

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Assistant Professor
E-mail
akirafuruihiroshima-u.ac.jp

Basic Information

Major Professional Backgrounds

  • 2018/04/01, 2019/09/30, Japan Society for the Promotion of Science, Research Fellowship for Young Scientists (DC1)
  • 2019/10/01, 2020/03/31, Hiroshima University, Graduate School of Engineering, Assistant Professor

Educational Backgrounds

  • Hiroshima University, School of Engineering, Japan, 2016/03
  • Hiroshima University, Graduate School of Engineering, The Department of System Cybernetics, Japan, 2016/04, 2019/09

Academic Degrees

  • Hiroshima University
  • Hiroshima University

Research Keywords

  • Probabilistic modeling
  • Statistical signal processing
  • Biological signal analysis

Educational Activity

Course in Charge

  1. 2021, Graduate Education (Master's Program) , 1Term, Special Exercises on Electorical, Systems, and Control Engineering A
  2. 2021, Graduate Education (Master's Program) , 2Term, Special Exercises on Electorical, Systems, and Control Engineering A
  3. 2021, Graduate Education (Master's Program) , 3Term, Special Exercises on Electorical, Systems, and Control Engineering A
  4. 2021, Graduate Education (Master's Program) , 4Term, Special Exercises on Electorical, Systems, and Control Engineering A
  5. 2021, Graduate Education (Master's Program) , 3Term, Special Exercises on Electorical, Systems, and Control Engineering B
  6. 2021, Graduate Education (Master's Program) , 4Term, Special Exercises on Electorical, Systems, and Control Engineering B
  7. 2021, Graduate Education (Master's Program) , Academic Year, Special Study on Electorical, Systems, and Control Engineering
  8. 2021, Graduate Education (Master's Program) , Academic Year, Special Study on Electorical, Systems, and Control Engineering

Research Activities

Academic Papers

  1. Measurement of emotional states of zebrafish through integrated analysis of motion and respiration using bioelectric signals, Scientific Reports, 11(1), 20210108
  2. Relationships between motor and cognitive functions and subsequent post-stroke mood disorders revealed by machine learning analysis, SCIENTIFIC REPORTS, 10(1), 20201111
  3. Longitudinal assessment of U-shaped and inverted U-shaped developmental changes in the spontaneous movements of infants via markerless video analysis, Scientific Reports, 10(1), 20201008
  4. Does the variance of surface EMG signals during isometric contractions follow an inverse gamma distribution?, Proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), 3118-3121, 20200827
  5. Video-based evaluation of infant crawling toward quantitative assessment of motor development, Scientific Reports, 10(1), 11266, 20200709
  6. Spatiotemporal Parameterization of Human Reaching Movements Based on Time Base Generator, IEEE ACCESS, 8, 104944-104955, 20200605
  7. Markerless Measurement and Evaluation of General Movements in Infants, Scientific Reports, 10(1), 20200129
  8. Muscle Fatigue Analysis by Using a Scale Mixture-based Stochastic Model of Surface EMG Signals, Proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'19), 1948-1951, 20191007
  9. Biomimetic Control of a Five-finger Myoelectric Prosthetic Hand Based on Muscle Synergy Hypothesis, The journal of the Institute of Electronics, Information and Communication Engineers, 102(9), 768-771, 20190801
  10. A myoelectric prosthetic hand with muscle synergy-based motion determination and impedance model-based biomimetic control, Science Robotics, 4(31), eaaw6339, 20190626
  11. Development of Myoelectric Robotic/Prosthetic Hands with Cybernetic Control at the Biological Systems Engineering Laboratory, Hiroshima University, Journal of Robotics and Mechatronics, 31(1), 27-34, 20190220
  12. A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances, IEEE Transactions on Biomedical Engineering, 66(10), 2780-2788, 20190128
  13. An EMG Pattern Classification Method Based on a Mixture of Variance Distribution Models, Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), 5216-5219, 20181029
  14. Electromyographic Interface Technology and Robotic Arm Prostheses, Journal of the Japan Society for Precision Engineering, 83(11), 1010-1013, 20171105
  15. Variance Distribution Analysis of Surface EMG Signals Based on Marginal Maximum Likelihood Estimation, Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'17), 2514-2517, 20170914
  16. Virtual Restoration of Down-sampled EMG Signals Using a Stochastic Model, Proceedings of the 11th International Convention on Rehabilitation Engineering and Assistive Technology (i-CREATe2017), 201707
  17. An artificial EMG generation model based on signal-dependent noise and related application to motion classification, PLOS ONE, 12(6), e0180112, 20170622
  18. A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution, IEEE Transactions on Biomedical Engineering, 64(11), 2672-2681, 20170125

Invited Lecture, Oral Presentation, Poster Presentation

  1. Does the variance of surface EMG signals during isometric contractions follow an inverse gamma distribution?, Akira Furui and Toshio Tsuji, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), 2020/07, Without Invitation, English, EMBS Virtual Academy
  2. Muscle Fatigue Analysis by Using a Scale Mixture-based Stochastic Model of Surface EMG Signals, Akira Furui and Toshio Tsuji, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), 2019/07, Without Invitation, English, Berlin, Germany
  3. An EMG Pattern Classification Method Based on a Mixture of Variance Distribution Models, Akira Furui, Hideaki Hayashi, and Toshio Tsuji, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), 2018/07, Without Invitation, English, Honolulu, HI, USA
  4. EMG Interface Technology and Robotic Arm Prostheses, Akira Furui and Toshio Tsuji, 7th Hiroshima Conference on Education and Science in Dentistry, 2018/03, With Invitation, English
  5. Virtual Restoration of Down-sampled EMG Signals Using a Stochastic Model, Akira Furui, Hideaki Hayashi, Takaei Kihara, Takahiro Konishi, Yusuke Yoshida, Yuichi Kurita, and Toshio Tsuji, 11th International Convention on Rehabilitation Engineering and Assistive Technology (i-CREATe2017), 2017/08, Without Invitation, English, Kobe International Conference Center, Kobe
  6. HUVETS: Hiroshima University Virtual EMG Training System for myoelectric hand control with evaluation of motor skills and fatigue in users, Masanobu Kittaka, Akira Furui, and Toshio Tsuji, Global Student Innovation Challenge for Assistive Technology (gSIC-AT), The 11th International Convention on Rehabilitation Engineering and Assistive Technology (i-CREATe2017), 2017/08, Without Invitation, English, Kobe International Conference Center, Kobe
  7. Variance Distribution Analysis of Surface EMG Signals Based on Marginal Maximum Likelihood Estimation, Akira Furui, Hideaki Hayashi, Yuichi Kurita, and Toshio Tsuji, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'17), 2017/07, Without Invitation, English, Jeju Island, Korea

Awards

  1. 2020/11/07, Phoenix Outstanding Researcher Award, Hiroshima University
  2. 2019/08/31, Young Researcher Award, IEEE EMBS East and Central Japan Chapter/West Japan Chapter
  3. 2017/08/24, gSIC-AT: i-CREATe2017 Best Poster Award, Coalition on Rehabilitation Engineering & Assistive Technology of Asia (CREATe Asia)

External Funds

Acceptance Results of Competitive Funds

  1. Research Fellowships for Young Scientists (DC1), 2018, 2019
  2. Grant-in-Aid for Research Activity Start-up, 2020, 2022