KINDAI UNIVERSITY


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KURITA Koichi

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FacultyDepartment of Electronic Engineering and Computer Science / Research Institute of Fundamental Technology for Next Generation / Graduate School of System Enginnering
PositionProfessor
Degree
Commentator Guidehttps://www.kindai.ac.jp/meikan/389-kurita-kouichi.html
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Last Updated :2020/09/02

Education and Career

Academic & Professional Experience

  •   2011 04 ,  - 現在, Faculty of Engineering, Department of Electronic Engineering and Computer Science, Kindai University
  •   2006 04 ,  - 2011 03 , Kochi National College of Technology Department of Electrical Engineering and Information Science

Research Activities

Research Areas

  • Life sciences, Rehabilitation science
  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Measurement engineering
  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Communication and network engineering
  • Social infrastructure (civil Engineering, architecture, disaster prevention), Safety engineering
  • Social infrastructure (civil Engineering, architecture, disaster prevention), Social systems engineering
  • Life sciences, Biomaterials
  • Life sciences, Biomedical engineering

Research Interests

  • gait analysis

Published Papers

  • Detection Technique of Individual Characteristic Appearing in Walking Motion, Koichi Kurita, Syota Morinaga, IEEE Access, IEEE Access, 7, 139226 - 139235, Oct. 2019 , Refereed
  • Noncontact Detection of Movements of Standing up from and Sitting Down on a Chair Using Electrostatic Induction, Koichi Kurita, Syota Morinaga, IEEE Sensors Journal, IEEE Sensors Journal, 19(19), 8934 - 8939, Oct. 2019 , Refereed
  • Non-Contact Measurement Technique of Individual Motions Appearing in Daily activity, Koichi Kurita, Global Engineering and Applied Science Conference 2018, Japan, 10 – 13 Sept., Global Engineering and Applied Science Conference 2018, Japan, 10 – 13 Sept., 654 - 659, Sep. 2018 , Refereed
  • Visualization of Individual Feature Amount Appearing in Daily Performance based on Electrostatic Induction, Koichi Kurita, Journal of Information and Communication Engineering, Journal of Information and Communication Engineering, 4(1), 211 - 216, 2018 , Refereed
  • Detection of Individual Feature Amount by using Non-Contact Human Movement Monitoring Technique, Koichi Kurita, Journal of Mobile Interactions, Journal of Mobile Interactions, 7(1/2), 37 - 41, 2017 , Refereed
  • Noncontact monitoring technique for turn over motion in bed, Koichi Kurita, IEEJ Transactions on Electronics, Information and Systems, IEEJ Transactions on Electronics, Information and Systems, 135(5), 492 - 497, May 01 2015 , Refereed
    Summary:In this study, we develop an effective noncontact technique for detecting rolling over in bed. We propose a new method for detecting rolling motion by measuring the current generated due to a change in the capacitance between a given electrode and the human body. The technique involves the detection of electrostatic induction current of the order of approximately sub-picoamperes flowing through the electrode that is placed at a distance of 1 m from a subject. A theoretical model is proposed for the electrostatic induction current generated due to a change in the electric potential of the human body. This model can be used to effectively explain the behavior of the electrostatic induction current flowing through the measurement electrode. We apply the noncontact technique to detect the timing of rolling over in bed. Thus, we could quantitatively estimate the timing of rolling over in bed under noncontact and nonattached conditions. Our technique enables easy in-situ detection of the timing of rolling over in bed.
  • Non-contact Moving Vehicle Detection Method Based on Electrostatic Induction Technique, Koichi Kurita, Journal of Science and Engineering, Journal of Science and Engineering, 6(1), 024 - 028, 2015 , Refereed
  • Human Identification from Walking Signal based on Measurement of Current Generated by Electrostatic Induction, Koichi Kurita, Kansei Engineering International Journal, Kansei Engineering International Journal, 11(4), 183 - 189, Nov. 2012 , Refereed
  • Novel non-contact technique for detecting sports motion on the basis of current generated by electrostatic induction, Koichi Kurita, Takahito Yamashima, Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, 78(789), 1420 - 1427, 2012 , Refereed
    Summary:In this study, we develop an effective noncontact technique for analyzing sports motion. We propose a new method for detecting sports motion by measuring the current generated due to a change in the capacitance between a given electrode and the human body. The technique involves the detection of electrostatic induction current of the order of approximately sub-picoamperes flowing through the electrode that is placed at a distance of 3 m from a subject. An occurrence model is proposed for the electrostatic induction current generated due to a change in the electric potential of the human body. This model can be used to effectively explain the behavior of the electrostatic induction current flowing through the measurement electrode. We apply the noncontact technique to detect the timing of athlete's foot contact or off with the ground during pitching and batting motions in baseball. Thus, we could quantitatively estimate the timing of contact and noncontact of an athlete's foot with the ground from the time of occurrence of the peaks. Our technique enables easy in-situ detection of the timing of contact and noncontact of an athlete's foot with the ground during pitching and batting motions. © 2012 The Japan Society of Mechanical Engineers.
  • New Detection Technique for Timing of Contact and Noncontact of Athlete’s Foot with the Ground in Sports, Koichi Kurita, International Journal of Automation Technology, International Journal of Automation Technology, 15(2), 232 - 235, 2011 , Refereed
  • A Trial to Detect for Human Locomotion Based on Measurement of Current Generated by Electrostatic Induction., Koichi Kurita, Transactions of the Society of Instrument and Control Engineers, Transactions of the Society of Instrument and Control Engineers, 47(10), 430 - 434, 2011 , Refereed
  • A Study on Content Creation Optimization in e-Learning with Ultra-compact Terminal, Koichi Kurita, Japanese colleges of technology education journal, Japanese colleges of technology education journal, 32, 387 - 392, 2009 , Refereed
  • Practice and evaluation of attractive electrical engineering education that you can see from breaking, Koichi Kurita, Japanese colleges of technology education journal, Japanese colleges of technology education journal, 32, 381 - 386, 2009 , Refereed
  • Development of Non-Contact System for Measurement of Signal Generated during Human Motion of Stepping, Koichi Kurita, Journal of Cybernetics and Systems, Journal of Cybernetics and Systems, 2(1), 37 - 40, 2009 , Refereed
  • Examination of irradiation power and image analysis method in concrete peeling detection method by forced heating, Oyado Michiaki, Takashi Tanaka, Seiichi Tottori, Koichi Kurita, Concrete research and technology, Concrete research and technology, 18(3), 37 - 46, Sep. 2007 , Refereed
  • Noncontact Hand Motion Classification Technique for Application to Human-Machine Interfaces, Koichi Kurita, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 50(3), 2213 - 2218, May 2014 , Refereed
    Summary:In this paper, I present an effective noncontact technique for the measurement of human hand motion with wireless portable motion detection sensors; this technique allows the detection of the subject's hand movements. This method involves the measurement of the current generated due to the difference in the capacitance between the subject's hand and the measurement electrodes in the motion detection sensor. The two motion detection sensors are capable of detecting the direction of the subject's hand movement by measuring the time difference of the peak of the electrostatic induction current. This technique allows us to recognize the direction of the hand movement with respect to the motion detection sensors under perfect noncontact conditions.
  • Non-contact physical activity estimation method based on electrostatic induction technique, Koichi Kurita, PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12), PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12), 17, 1151 - 1154, 2012 , Refereed
    Summary:We here present a method for measuring human physical activity, which is based on detecting the electrostatic induction current generated by the walking motion under non-contact and non-attached conditions. A theoretical model for the electrostatic induction current generated because of a change in the electric potential of the human body is also proposed. By comparing the obtained electrostatic induction current with the theoretical model, it becomes obvious that this model effectively explains the behavior of the waveform of the electrostatic induction current. The normal walking motions of daily living are recorded using a portable sensor measurement located in an ordinary house. The obtained results show that detailed information regarding physical activity such as a walking cycle can be estimated using our proposed technique. This suggests that the proposed technique, which is based on the detection of the walking signal, can be successfully applied to the estimation of human physical activity.
  • A new technique for touch sensing based on measurement of current generated by electrostatic induction, Koichi Kurita, Yusaku Fujii, Kazuhito Shimada, SENSORS AND ACTUATORS A-PHYSICAL, SENSORS AND ACTUATORS A-PHYSICAL, 170(1-2), 66 - 71, Nov. 2011 , Refereed
    Summary:In this paper, we propose a new concept for touch sensors that is based on measurement of the current generated by electrostatic induction. The proposed sensor can detect the timing of contact between two objects from a distance without contact with either object. When the human body comes in contact with an object, electrostatic charge is generated in the human body due to tribological interactions. We assume that the human body is a good conductor. As a result, an instantaneous change is observed in the electric potential of the human body. Therefore, contact can be detected via the change in the electric potential of the human body. We have developed an effective technique for measuring the change in the electric potential of the human body using a noncontact electrode. Such indirect measurement is made possible by the measurement of the instantaneous current flowing through the electrode, instead of measurement of the voltage of the electrode by the conventional capacitively coupled method. This new technique requires measurement of the electrostatic induction current generated due to changes in the electric potential of the human body. (C) 2011 Elsevier B.V. All rights reserved.
  • Novel non-contact and non-attached technique for detecting sports motion, Koichi Kurita, MEASUREMENT, MEASUREMENT, 44(8), 1361 - 1366, Oct. 2011 , Refereed
    Summary:In this study, we propose an effective non-contact and non-attached technique for detecting sports motion by measuring the current, which is approximately of the order of sub-picoamperes, generated because of a change in the capacitance between a given electrode and the human body. An occurrence model is proposed for the electrostatic induction current generated because of a change in the electric potential of the subject's body due to foot motions. We apply the proposed technique to determine the time for which an athlete's foot remains in contact with the ground and off the ground during pitching and batting motions while playing baseball. Thus, we can quantitatively estimate the time for which an athlete's foot is in contact with the ground and off the ground on the basis of the time at which peaks were observed in the waveforms of the electrostatic induction current. (C) 2011 Elsevier Ltd. All rights reserved.
  • A New Motion Control Method for Bipedal Robot Based on Noncontact and Nonattached Human Motion Sensing Technique, Koichi Kurita, Shinya Ueta, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 47(2), 1022 - 1027, Mar. 2011 , Refereed
    Summary:We develop a new motion control technique for the stepping motion of a bipedal robot; this technique is based on an effective noncontact and nonattached technique that is used for the detection of human stepping motion and hand moving motion. Our technique involves the generation of an electrostatic current by a change in the potential of the human body during stepping or walking motions. The waveform of the induced current contains cadence components of both feet. The knee joint angle, which is estimated from the induced current waveform, is used as a motion control signal. For example, the motion of a commercially available bipedal robot is controlled in real time by the current generated in a human body while stepping and hand moving.
  • Note: Human heartbeat measurement on the basis of current generated by electrostatic induction, Koichi Kurita, REVIEW OF SCIENTIFIC INSTRUMENTS, REVIEW OF SCIENTIFIC INSTRUMENTS, 82(2), 026105 - 026107, Feb. 2011 , Refereed
    Summary:In this study, we developed an effective nonattached, noncontact technique for measurement of the human heartbeat. This method detects the human heartbeat by measuring the current generated by variations in the capacitance between a given electrode and the human body. An electrode is placed a few centimeters from the subject's chest, and the electrostatic induction current (on the order of picoamperes) flowing through the electrode is then detected. We propose an occurrence model for the electrostatic induction current generated by variations in the electrostatic capacitance generated because of the human heartbeat, with respect to a given measurement electrode. Furthermore, we compared waveforms of the human heartbeat simultaneously obtained by using conventional electrocardiography (ECG) and our proposed electrostatic induction method. The waveform obtained using the proposed method had the same cycle as that obtained using conventional ECG. This confirms that we can detect the human heartbeat under nonattached, noncontact conditions. (C) 2011 American Institute of Physics. [doi:10.1063/1.3541554]
  • Detection of human respiration based on measurement of current generated by electrostatic induction, Koichi Kurita, Artificial Life and Robotics, Artificial Life and Robotics, 15(2), 181 - 184, 2010 , Refereed
    Summary:In this study, we developed an effective technique for measuring human respiration using a noncontact and nonattached electrode. The technique requires the measurement of the current generated due to the difference in capacitance between a given electrode and the human body. The subpicoampere electrostatic induction current flowing through the electrode when placed a few centimeters from the subject is detected. We propose an occurrence model for the electrostatic induction current generated by the change in capacitance caused by the movement of the body surface while taking a breath. This model effectively describes the behavior of the current flowing through the measurement electrode. © 2010 International Symposium on Artificial Life and Robotics (ISAROB).
  • Novel Detection Technique for Triboelectricity under Perfect Noncontact Condition, Koichi Kurita, PRECISION INSTRUMENTATION AND MEASUREMENT, PRECISION INSTRUMENTATION AND MEASUREMENT, 36, 355 - +, 2010 , Refereed
    Summary:In this study, we propose a new concept for triboelectricity measurement technique based on the measurement of current generated by electrostatic induction. The proposed technique can detect the occurrence of triboelectricity from the contact between two objects under perfect noncontact and in situ conditions. An instantaneous change, which is generated on the object as a result of friction between the objects, is observed in the electric potential of the object. Therefore, we can detect the electrostatic induction current of the order of a few picoamperes flowing through an electrode that is placed at a distance of 50 cm from the object. In order to confirm the effectiveness of this technique, the electrostatic induction currents generated from prototype rotating equipment were measured. An occurrence model is proposed for the electrostatic induction current generated as a result of a change in the electric potential of the object.
  • Active infrared thermographic inspection technique for elevated concrete structures using remote heating system, Koichi Kurita, Michiaki Oyado, Hisashi Tanaka, Seiichi Tottori, INFRARED PHYSICS & TECHNOLOGY, INFRARED PHYSICS & TECHNOLOGY, 52(5), 208 - 213, Sep. 2009 , Refereed
    Summary:Conventionally, the inspection of elevated concrete structures requires the use of scaffolding or an aerial truck. In this study, elevated railway structures constructed of reinforced concrete were inspected using active infrared thermography. The inspection area corresponded to half of the middle slab covering an area of 16.8 m(2); one inspection was carried out that took about 15 min. A remote heating system consisting of a 6-kW air-cooled xenon arc lamp and a scanner system was developed to detect hidden defects in elevated concrete structures without the need for an aerial truck or scaffolding. The generation of a thermal image and irradiation are carried out simultaneously by the beam scanning. High-contrast infrared thermal images can be obtained by the simple image processing procedure that is proposed. (C) 2009 Elsevier B.V. All rights reserved.
  • New Estimation Method for the Electric Potential of the Human Body under Perfect Noncontact Conditions, Koichi Kurita, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 4(2), 309 - 311, Mar. 2009 , Refereed
    Summary:We have developed an effective noncontact technique for the measurement of the electric potential of the human body when performing a stepping motion. This technique is based on the detection of ail electrostatic-induced current generated by the stepping motion. The electric potential of the subject is determined by integrating the electrostatic-induced current flowing through an electrode that is placed at a distance of 1.5 m from the subject with respect to time. The values of the estimated electric potential are qualitatively in good agreement with those obtained in previous experiments by using an ordinary contact-type hand electrode. (C) 2009 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
  • A non-contact and online ink thickness sensor for printing machines using the photoacoustic effect, Koichi Kurita, MEASUREMENT SCIENCE AND TECHNOLOGY, MEASUREMENT SCIENCE AND TECHNOLOGY, 19(7), 075206, Jul. 2008 , Refereed
    Summary:We have developed an ink thickness sensor by employing a photoacoustic technique in order to enable the online measurement of ink thickness for printing machines such as a sheet-fed press. This sensor enables the online measurement of black ink thickness, which was impossible using the conventional methods. In order to detect the photoacoustic signals from the ink on a rotating ink roller using a non-contact technique, the halogen light chopping frequency was made to coincide with the pipe acoustical resonance frequency of the photoacoustic cell. With this method, even though the photoacoustic cell is an open cell, the sensitivity of the photoacoustic cell could be improved as compared to the conventional non-resonant closed cell. Further, it was clarified both experimentally and theoretically that the photoacoustic signal strength of black ink corresponds to an ink film thickness when the optimum halogen light chopping frequency is selected. In addition, a study is made on the characteristics of the photoacoustic signal strength variation for the clearance between the resonance tube and the ink roller.
  • Velocity measurement of free jets using nuclear hyperfine structure of I-2, E Hirai, K Teshima, K Kurita, S Takahara, JSME INTERNATIONAL JOURNAL SERIES B-FLUIDS AND THERMAL ENGINEERING, JSME INTERNATIONAL JOURNAL SERIES B-FLUIDS AND THERMAL ENGINEERING, 40(3), 501 - 508, Aug. 1997 , Refereed
    Summary:Axial velocity distribution in an It-seeded Ar free jet is investigated by the laser-induced fluorescence (LIF) technique using a ring dye laser with 500 kHz line width. Since the translational temperature in the flow region is low, the hyperfine structure due to the nuclear spin of It molecules is observed in the spectrum of It B-X bands. The spectrum shape is explained by the quantum mechanical theory and the simulated spectra coincide with our measurements. First, the possibility of the translational temperature measurement based on the hyperfine spectrum shape is discussed. Then, axial velocity measurement is performed and the results are found to be in good agreement with those of Ashkenas & Sherman. The applicability and the velocity resolution limit of our measurement technique are also discussed.
  • VELOCITY AND TEMPERATURE DISTRIBUTIONS IN AN UNDEREXPANDED SUPERSONIC JET BY USING A LASER INDUCED FLUORESCENCE, Koichi Kurita, Takashi Okai, Kazuaki Ueno, Noriyuki Kawada, Mitsuo Kato, ANALYTICAL SCIENCES, ANALYTICAL SCIENCES, 7(2), 1459 - 1462, 1991 , Refereed
    Summary:The axial velocity and temperature distributions in an underexpanded argon jet produced by a sonic nozzle have been investigated by using the laser induced fluorescence technique. To apply the LIF method to rarefied gas flows, seed material used in this experiments is iodine. Doppler shift of the absorption line is exploited to extract velocity distribution on the flow axis. On the other hand, parallel temperature along with flow axis is determined by the Doppler broadening of the absorption line.
  • NEAR BAND EDGE PHOTOLUMINESCENCE IN SB2S3, T FUJITA, K KURITA, K TAKIYAMA, T ODA, JOURNAL OF LUMINESCENCE, JOURNAL OF LUMINESCENCE, 39(4), 175 - 180, Mar. 1988 , Refereed
  • ANOMALOUS BEHAVIOR OF THE ABSORPTION TAIL DUE TO A PHASE-TRANSITION IN SB2S3, K KURITA, T FUJITA, K TAKIYAMA, T ODA, PHYSICS LETTERS A, PHYSICS LETTERS A, 126(2), 141 - 144, Dec. 1987 , Refereed
  • THE FUNDAMENTAL ABSORPTION-EDGE AND ELECTRONIC-STRUCTURE IN SB2S3, T FUJITA, K KURITA, K TAKIYAMA, T ODA, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 56(10), 3734 - 3739, Oct. 1987 , Refereed
  • ELECTROABSORPTION OF INDIRECT FORBIDDEN EXCITON IN TLBR, K KURITA, K TAKIYAMA, T FUJITA, T ODA, A FUJII, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 54(12), 4787 - 4793, Dec. 1985 , Refereed

Conference Activities & Talks

  • 歩行動作で誘起された静電誘導電流を用いた深層学習による歩行動作評価技術, Koichi Kurita, 電子情報通信学会2019年総合大会,   2019 03 22
  • マイクロ分光器を用いた生体の非接触脈波計測技術, Yukio Takahashi, Syota Morinaga, Koichi Kurita, 第27回計測自動制御学会中国支部 学術講演会,   2018 12 01
  • 手話動作により誘起される静電誘導電流の計測と解析, Syota Morinaga, Koichi Kurita, 第27回計測自動制御学会中国支部 学術講演会,   2018 12 01
  • 歩行動作で誘起される静電誘導波形を用いた機械学習による歩行動作評価技術, Koichi Kurita, 第27回計測自動制御学会中国支部 学術講演会,   2018 12 01
  • 深層学習を用いた歩行動作の個人識別技術, Koichi Kurita, 計測自動制御学会システム・情報部門学術講演会2018,   2018 11 25
  • Physical Activity Estimation Method by using Wireless Portable Sensor based on Electrostatic Induction,   2012 11 24
  • Vehicle Detection Technique using Wireless Sensor Based on Electrostatic Induction,   2012 11 24
  • Detection Technique for Timing of Contact and Noncontact of Athlete's Foot with the Ground in Sports,   2012 11 24
  • Detection Technique of Human Walking Motion Based on Measurement of Current Generated by Electrostatic Induction,   2012 11 24

Misc

  • Novel Walking Ability Classification Technique Using Ultra-Sensitive Electrostatic Induction Sensor, Koichi Kurita, ICNSE International Congress on Natural Sciences and Engineering 2020, Japan, 20-22 Jan., 69, 73,   2020 01 , Refereed
  • Noncontact pulse wave detection technique using micro-spectrometer, Yukio Takahashi, Koichi Kurita, SICE Annual Conference 2019,   2019 09 , Refereed
  • Activity Evaluation Technique of Human Body Motion Such as Walking Motion based on Ultra High-Sensitive Electrostatic Induction, Koichi Kurita, The 6th Annual Conference on Engineering and Information Technology, 441, 442,   2019 03 , Refereed
  • Identification Technique of Walking Motion in Daily Performance based on Ultra High-Sensitive Electrostatic Induction, Koichi Kurita, 2019 Asian Conference on Engineering and Natural Science (2019ACENS), Japan, 22-24 January, 159, 160,   2019 01 , Refereed
  • Person Identification by Deep Learning using Walking Signals Detected by Ultra-Sensitive Electrostatic Induction Technique, Syota Morinaga, Koichi Kurita, Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems in conjunction with Intelligent Systems Workshop 2018, Japan,, 274, 278,   2018 12 , Refereed
  • New Estimation Method for Daily Performance based on Ambient Sensing Technology, Koichi Kurita, The 5th Annual Conference on Engineering and Information Technology (ACEAIT 2018), 616, 617,   2018 03 , Refereed
  • Visualization of Individual Feature Amount Appearing in Daily Performance based on Electrostatic Induction, Koichi Kurita, 24, 26,   2017 11 , Refereed
  • Motion Identification Technique in Daily Performance based on Ultra High-Sensitive Electrostatic Induction, Koichi Kurita, 2017 The Annual Conference on Engineering and Applied Science (2017 ACEAT), 329, 330,   2017 11 , Refereed
  • Walking Activity Estimation Method by Using Electrostatic Induction, Koichi Kurita, Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, 949, 950,   2016 08 , Refereed
  • NON-CONTACT DETECTION SYSTEM FOR MEASUREMNT OF SIGNAL GENERATED DURING HUMAN MOTION OF STEPPING, Koichi Kurita, IASTEM- 60th International Conference on Recent Advances in Engineering and Technology (ICRAET) 2016, 37, 40,   2016 08 , Refereed
  • A Feature Amount Extracting form Walking Signal Generated by Electrostatic Induction, Koichi Kurita, Annual Conference on Engineering and Information Technology 2016, 1193, 1194,   2016 03 , Refereed
  • Evaluation of Educational Attempt of Reverse Engineering on Electrical Engineering Class, Koichi Kurita, 2016 Asia-Pacific Symposium on Social Science and Management (APSSSM), 65, 68,   2016 02 , Refereed
  • Detection System for Survivor Under the Rubble Based on Electrostatic Induction, Koichi Kurita, Asian Conference on Engineering and Natural Science (ACENS 2016), 721, 728,   2016 02 , Refereed
  • Temporal Change in Plantar Surface Contact Area in Walking Motion, Koichi Kurita, The 21th International Symposium on Artificial Life and Robotics 2016 AROB 21th, 857, 860,   2016 01 , Refereed
  • Non-Contact Detection Technique for Triaboelectricity Based on Electrostatic Induction, The 3rd International Conference on Engineering and Applied Science 2013 (ICEAS 2013), 1825, 1830,   2013 11 , Refereed
  • Remote monitoring Technique for Physical Activity Estimation by means of the Internet, The 18th ISfTeH International Conference in Japan Proceedings, 113,   2013 10 , Refereed
  • Human Physical Activity Measurement Method Based on Electrostatic Induction, 11th International Symposium on Measurement and Quality Control 2013, ID127,   2013 09 , Refereed
  • Electrostatic Induction Sensor for Traffic Surveillance, International Conference on Instrumentation, Control, Information Technology and System Integration, 1683, 1684,   2013 09 , Refereed
  • Measurement of Foot Contact Area in Walking Motion, International Conference on Instrumentation, Control, Information Technology and System Integration, 1679, 1682,   2013 09 , Refereed
  • Human Identification Technique from Walking Motion based on Electrostatic Induction, International Conference on Instrumentation, Control, Information Technology and System Integration, 1673, 1678,   2013 09 , Refereed
  • Human Respiration Detection Technique based on Measurement of Current Generated by Electrostatic Induction, 35th Annual International Conference of the IEEE EMBS, 6877, 6880,   2013 07 , Refereed
  • New Approach to Estimate Friction Caused by Biped Robot Walking Based on Electrostatic Induction, Proceedings of the 2012 International Conference on Advanced Mechatronic Systems, 680, 683,   2012 09 , Refereed
  • New Measurement Technique for Electrocardiography under Perfect Noncontact Conditions, The International Conference on Electrical Engineering 2012, 1484, 1489,   2012 08 , Refereed
  • Estimation technique of friction caused by robot walking motion, Koichi Kurita, Proceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013, 268, 269,   2013 , Refereed, 10.1109/IIAI-AAI.2013.89
    Summary:We develop a new sensing technique to estimate the friction produced between the foot of a biped walking robot and the floor. This technique is based on the criteria of effective non-contact and non-attachment, which are considered when studying a robot's walking motion. Our technique involves measuring the electrostatic induction current generated from triboelectricity that results from a change in the electric potential of a walking robot. The waveform of the induced current contains cadence components of both feet. The walking motion of a commercially available biped robot is detected by measuring the current generated in the robot walking under non-contact and non-attached conditions. A theoretical model is proposed for the electrostatic induction current generated as a result of the change in the electric potential of the robot. The waveforms of the electrostatic induction current generated by the biped robot's walking motion on a wood are observed. It is evident that the differences in the floor materials are reflected in the waveform and in the amplitude of the observed peaks. It is considered that friction conditions affect the waveform of the electrostatic induction current since the obtained waveform strongly depends on the floor material. © 2013 IEEE.
  • Differences between Individuals with Temporal Change in Plantar Surface Contact Area in Walking Motion, Koichi Kurita, 2013 INTERNATIONAL CONFERENCE ON BIOMETRICS AND KANSEI ENGINEERING (ICBAKE), 87, 90,   2013 , Refereed, 10.1109/ICBAKE.2013.16
    Summary:Here, we present a method for extracting individual human qualities based on the detection of the plantar surface contact area in a walking motion, with the use of a high-speed camera system with 150 frames per second. This technique captures images of the plantar surface contact area through a transparent acrylic slab by using the evanescent waves that form on the transparent acrylic surface where the plantar touches. Images were obtained of the temporal changes in the plantar surface contact areas of 14 healthy individuals between 22 and 23 years of age using the proposed technique. Subtle characteristics were derived from the temporal changes in the plantar surface contact areas obtained from their waveforms. There were differences because the waveforms reflected, not only differences between the shapes of individual soles but also the plantar skin deformations of each individual. This suggests that the extraction of individual qualities based on subtle differences in the temporal changes in the plantar surface contact area can be achieved using the proposed technique.
  • Physical Activity Estimation Method by Using Wireless Portable Sensor, Koichi Kurita, 2012 IEEE SENSORS PROCEEDINGS, 691, 694,   2012 , Refereed
    Summary:In this study, an effective noncontact technique for the detection of human physical activity is proposed. The technique is based on detecting the electrostatic induction current generated by the walking motion under non-contact and non-attached conditions. A theoretical model for the electrostatic induction current generated because of a change in the electric potential of the human body is proposed. By comparing the obtained electrostatic induction current with the theoretical model, it becomes obvious that this model effectively explains the behavior of the waveform of the electrostatic induction current. The normal walking motions of daily living are recorded using a portable sensor measurement located in an ordinary house. The obtained results show that detailed information regarding physical activity such as a walking cycle can be estimated using our proposed technique. Additionally, the walking signal is measured when the subject walked with the ankle and knee of the foot fastened to a splint with bandages. This suggests that the proposed technique, which is based on the detection of the walking signal, can be successfully applied to the estimation of the quality of human walking motion.
  • Non-Contact Hand Motion Classification Technique for Application to Human Machine Interfaces, K. Kurita, 2012 15TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2012), DS3G3, 9,   2012 , Refereed
    Summary:In this paper, we present an effective non-contact technique for the measurement of human hand motion with wireless portable motion detection sensors; this technique allows the detection of the subject's hand movements. This method involves the measurement of the current generated due to the difference in the capacitance between the subject's hand and the measurement electrodes in the motion detection sensor. The two motion detection sensors are capable of detecting the direction of the subject's hand movement by measurement the time difference of the peak of the electrostatic induction current. This technique allows us to recognize the direction of the hand movement with respect to the motion detection sensors under perfect non-contact conditions.
  • Non-contact Detection of Human Heartbeat based on Measurement of Current Generated by Electrostatic Induction, Koichi Kurita, 2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE), 988, 992,   2012 , Refereed
    Summary:In this study, we developed an effective non-contact technique of human electrocardiography by using wireless portable sensor. The electrocardiograph is obtained by the time derivative of the electrostatic induction current generated at an electrode placed a few centimeters away from the subject's chest. We propose a detection principle for the electrocardiograph by considering the electrostatic induction current generated by variations in the electrical potential resulting from the instantaneous electric charge on the body's surface. Furthermore, we obtained waveforms of the numerical time derivative of the electrostatic induction current generated due to heart's electrical activity. Moreover, waveforms of the conventional ECG signal and the time derivative of the electrostatic induction currents were considerably similar. This confirms that we can detect the waveform similar to the electrocardiograph under non-contact conditions.
  • A Novel Detection Technique for Detecting Sports Motion based on Electrostatic Induction, Koichi Kurita, 2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE), 993, 998,   2012 , Refereed
    Summary:In this study, we propose a technique for detecting sports motion by measuring the current generated because of a change in the capacitance between a given electrode and the human body by using wireless portable sensor. A theoretical model is proposed for the electrostatic induction current generated because of a change in the electric potential of the subject's body due to foot motions. We apply the proposed technique to determine the time for which an athlete's foot remains in contact with the ground and off the ground during pitching motion while playing baseball. Thus, we can quantitatively estimate the time for which an athlete's foot is in contact with the ground and off the ground on the basis of the time at which peaks were observed in the waveforms of the electrostatic induction current.
  • Detection for human respiration and human heartbeat under non-contact conditions, Koichi Kurita, 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011, 1831, 1836,   2011 , Refereed, 10.1109/ROBIO.2011.6181556
    Summary:In this study, we developed an effective technique for measuring human respiration and human heartbeat using a noncontact and nonattached electrode. The technique requires measurement of the current generated due to the difference in capacitance between a given electrode and the human body. The subpicoamperes electrostatic induction current flowing through the electrode when placed a few centimeters from the subject is detected. We propose a theoretical model for the electrostatic induction current generated by the change in the capacitance caused by the movement of the body surface while taking a breath. This model effectively describes the behavior of the current flowing through the measurement electrode. © 2011 IEEE.
  • Human identification from walking signal based on measurement of current generated by electrostatic induction, Koichi Kurita, Proceedings - 2011 International Conference on Biometrics and Kansei Engineering, ICBAKE 2011, 232, 237,   2011 , Refereed, 10.1109/ICBAKE.2011.12
    Summary:We have presented a novel method for human gait recognition, which is based on detecting the electrostatic induction current generated by the walking motion under non-contact conditions. The method involves the measurement of this electrostatic induction current, which flows through a measurement electrode. A model for the electrostatic induction current generated because of a change in the electric potential of the human body has been proposed. This model effectively explains the behavior of the waveform of the electrostatic induction current flowing through the electrode. Walking waveforms of 29 healthy individuals aged between 12 and 53 years were obtained. After Fourier analysis of the obtained waveform, the Pearson correlation coefficients with each other were obtained by data processing using methods such as differentiation and normalization. Results show that there is poor correlation between the walking waveforms. This suggests that the proposed technique based on the detection of subtle differences in the walking signal can be successfully applied for human identification. © 2011 IEEE.
  • NEW SENSING TECHNIQUE FOR RESCUE ROBOT BASED ON MEASUREMENT OF CURRENT GENERATED BY ELECTROSTATIC INDUCTION, Koichi Kurita, EMERGING TRENDS IN MOBILE ROBOTICS, 973, 980,   2010 , Refereed
    Summary:We have developed a new sensing technique for the detection of subtle human motion under rubble; this is an effective noncontact, nonattached technique that does not require data processing. Our technique involves the generation of an electrostatic current associated with a change in the electric capacitance between the human body and a given measurement electrode. The waveforms of the current generated by various types of human motion under simulated rubble were observed. The observed waveform of the induced current contains peaks that can be attributed to various types of human motion. An occurrence model is proposed for the electrostatic induction current generated as a result of a change in the electric capacitance. The validity of the proposed method is confirmed through experimentation performed using simulated rubble. This method is useful for detecting survivors trapped under rubble in real time under noncontact and in situ conditions, and it does not require data processing.
  • NEW SENSING TECHNIQUE TO ESTIMATE FRICTION CAUSED BY BIPED ROBOT WALKING UNDER NON-CONTACT AND NON-ATTACHED CONDITIONS, Koichi Kurita, EMERGING TRENDS IN MOBILE ROBOTICS, 965, 972,   2010 , Refereed
    Summary:We develop a new sensing technique to estimate the friction produced between the foot of a biped walking robot and the floor. This technique is based on the criteria of effective non-contact and non-attachment, which are considered when studying a robot's walking motion. Our technique involves measuring the electrostatic induction current generated from triboelectricity that results from a change in the electric potential of a walking robot. The waveform of the induced current contains cadence components of both feet. The walking motion of a commercially available biped robot is detected by measuring the current generated in the robot walking under non-contact and non-attached conditions. An occurrence model is proposed for the electrostatic induction current generated as a result of the change in the electric potential of the robot. The waveforms of the electrostatic induction current generated by the biped robot's walking motion on a wood, paper, an acrylic, and PVC floor are observed. It is evident that the differences in the floor materials are reflected in the waveform and in the amplitude of the observed peaks. It is considered that friction conditions affect the waveform of the electrostatic induction current since the obtained waveform strongly depends on the floor material.
  • A New Motion Control Method for Bipedal Robot Based on Non-Contact and Non-Attached Human Motion Sensing Technique, K. Kurita, S. Ueta, 2009 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1-3, 875, 879,   2009 , Refereed, 10.1109/ICEMS.2009.5382670
    Summary:We develop a new motion control technique for the stepping motion of a bipedal robot; this technique is based on an effective non-contact and non-attached technique that is used for the detection of human stepping motion and hand moving motion. Our technique involves the generation of an electrostatic current by a change in the potential of the human body during stepping or walking motions. The waveform of the induced current contains cadence components of both the feet. The measure of the joint angle of the knee, which is estimated from the waveform of the induced current, is used as motion control signal. For example, the motion of a commercially available bipedal robot is controlled in real time by the current generated in a human while stepping and hand moving.
  • Sensing Technology for Functional Maintenance of Elevated Railway Structure, Koichi Kurita, Michiaki Oyado, Hisashi Tanaka, Seiichi Tottori, 2009 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2, 649, 652,   2009 , Refereed
    Summary:Experimental investigations on the construction of real railway structures using reinforced concrete are performed by using the active infrared thermography technique. A remote heating system consisting of an air-cooled 6 kW xenon arc lamp and a scanner system is developed. The heating system can be used to detect hidden defect in the concrete structure at depths less than 30 mm; for the detection, an irradiation with an energy density of 0.92 kJ/m(2). Results obtained from the experiments show that the proposed method provides better performance than conventional passive infrared thermography, irrespective of the weather conditions.

Awards & Honors

  •   2009 08 , Interactive Presentation Award, Detection of Human Walking Motion Based on Measurement of Current Generated by Electrostatic Induction