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Advances in Human-Computer Interaction
Volume 2010, Article ID 215825, 16 pages
http://dx.doi.org/10.1155/2010/215825
Research Article

Human Control Law and Brain Activity of Voluntary Motion by Utilizing a Balancing Task with an Inverted Pendulum

1Department of Robotics and Mechatronics, Tokyo Denki University, 2-2 Kanda-Nishiki-cho, Chiyoda-ku, Tokyo 101-8457, Japan
2Department of Robotics and Mechatronics, Tokyo Metropolitan University, 1-1 Minami-Osawa, Hachioji-Shi, Tokyo 192-0397, Japan

Received 4 November 2009; Revised 28 April 2010; Accepted 17 June 2010

Academic Editor: Armando Barreto

Copyright © 2010 Satoshi Suzuki et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [13 citations]

The following is the list of published articles that have cited the current article.

  • Irina Zgonnikova, Arkady Zgonnikov, and Shigeru Kanemoto, “Stick Must Fall: Using Machine Learning to Predict Human Error in Virtual Balancing Task,” 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), pp. 173–177, . View at Publisher · View at Google Scholar
  • Shigeki Matsumoto, and Katsutoshi Yoshida, “Parametric identification of stochastic dynamic model of human visuomotor tracking control,” 2015 IEEE/SICE International Symposium on System Integration (SII), pp. 564–568, . View at Publisher · View at Google Scholar
  • Satoshi Suzuki, Yasunori Fujimoto, and Toru Yamaguchi, “Can differences of nationalities be induced and measured by robot gesture communication ?,” 4th International Conference on Human System Interaction, HSI 2011, pp. 357–362, 2011. View at Publisher · View at Google Scholar
  • J. L. Cabrera, and J. G. Milton, “Stick balancing, falls and Dragon-Kings,” European Physical Journal-Special Topics, vol. 205, no. 1, pp. 231–241, 2012. View at Publisher · View at Google Scholar
  • Satoshi Suzuki, Asato Yoshinari, and Kunihiko Kuronuma, “Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue,” Advances in Human-Computer Interaction, vol. 2013, pp. 1–13, 2013. View at Publisher · View at Google Scholar
  • Satoshi Suzuki, Kunihiko Kuronuma, Asato Yoshinari, and Hiroshi Igarashi, “Estimation of operational proficiency involving social skill by measuring eye motion,” IEEJ Transactions on Industry Applications, vol. 133, no. 2, pp. 11–187, 2013. View at Publisher · View at Google Scholar
  • Satoshi Suzuki, Yasunari Fujimoto, and Toru Yamaguchi, “Induction of nationality difference by robot gesture and evaluation of brain monitoring,” IEEE International Symposium on Industrial Electronics, 2013. View at Publisher · View at Google Scholar
  • Satoshi Suzuki, Hiroshi Igarashi, Harumi Kobayashi, Tetsuya Yasuda, and Fumio Harashima, “Human adaptive mechatronics and human-system modelling,” International Journal of Advanced Robotic Systems, vol. 10, 2013. View at Publisher · View at Google Scholar
  • Sabine Weyand, and Tom Chau, “Correlates of Near-Infrared Spectroscopy Brain–Computer Interface Accuracy in a Multi-Class Personalization Framework,” Frontiers in Human Neuroscience, vol. 9, 2015. View at Publisher · View at Google Scholar
  • Arkady Zgonnikov, Shigeru Kanemoto, Ihor Lubashevsky, Takashi Suzuki, Arkady Zgonnikov, Shigeru Kanemoto, Ihor Lubashevsky, and Takashi Suzuki, “How the type of visual feedback affects actions of human operators: the case of virtual stick balancing,” 2015 Ieee International Conference On Systems, Man And Cybernetics (Smc 2015): Big Data Analytics For Human-Centric Systems, pp. 1100–1103, 2015. View at Publisher · View at Google Scholar
  • Satoshi Suzuki, “Optimized statistical parametric mapping procedure for NIRS data contaminated by motion artifacts,” Brain Informatics, 2017. View at Publisher · View at Google Scholar
  • Shigeki Matsumoto, Masayori Maruya, and Katsutoshi Yoshida, “Moment stability analysis of linear stochastic human controller model in visuomotor tracking task,” Artificial Life and Robotics, 2017. View at Publisher · View at Google Scholar
  • Lutz Schega, Fabian Herold, Patrick Wiegel, Felix Scholkmann, Angelina Thiers, and Dennis Hamacher, “Functional near-infrared spectroscopy in movement science: A systematic review on cortical activity in postural and walking tasks,” Neurophotonics, vol. 4, no. 4, 2017. View at Publisher · View at Google Scholar