single-rb.php

JRM Vol.28 No.6 pp. 819-829
doi: 10.20965/jrm.2016.p0819
(2016)

Paper:

Development of an Intraoral Interface for Human-Ability Extension Robots

Uori Koike*1, Guillermo Enriquez*2, Takanobu Miwa*2, Huei Ee Yap*3, Madoka Kabasawa*4, and Shuji Hashimoto*2

*1Graduate School of Advanced Science and Engineering, Waseda University
3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan

*2Faculty of Science and Engineering, Waseda University
3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan

*3LP-Research Inc.
#303 Y-Flat, 1-11-15 Nishiazabu, Minato-ku, Tokyo 106-0031, Japan

*4School of Advanced Science and Engineering, Waseda University
3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan

Received:
January 25, 2016
Accepted:
August 25, 2016
Published:
December 20, 2016
Keywords:
augmented human, assistive technologies, human-ability extension robots, intraoral interface, extended body
Abstract

Development of an Intraoral Interface for Human-Ability Extension Robots

The headset type intraoral interface

An extra degree of freedom to human body movement could assist people in a variety of tasks. To this end, we have previously proposed a human-ability extension system through a supernumerary limb. The system comprises of a manipulator that acts as a third arm, a feedback device that displays its status, and an interface that allows for its hands-free operation. Herein, we present this novel, intraoral interface that utilizes tongue motions and expiratory pressure. In contrast to the conventional intraoral interfaces that suffer from a lack of degrees of freedom and stability, our advanced interface is equipped with inertial measurement units and a pressure sensor to solve these problems without sacrificing the ease of use. The proposed interface is utile not only in our ongoing “Third Arm” project, but also in various other applications. We conclude with experimental evaluation of the system’s usability and its efficacy for human-ability extension systems.

Cite this article as:
U. Koike, G. Enriquez, T. Miwa, H. Yap, M. Kabasawa, and S. Hashimoto, “Development of an Intraoral Interface for Human-Ability Extension Robots,” J. Robot. Mechatron., Vol.28, No.6, pp. 819-829, 2016.
Data files:
References
  1. [1] H. Kawamoto, H. Kadone, T. Sakurai, and Y. Sankai, “Modification of Hemiplegic Compensatory Gait Pattern by Symmetry-based Motion Controller of HAL,” Proc. of 2015 37th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4803-4807, Aug. 2015.
  2. [2] J. L. Contreras-Vidal and R. G. Grossman, “NeuroRex: A Clinical Neural Interface Roadmap for EEG-based Brain Machine Interfaces to a Lower Body Robotic Exoskeleton,” Proc. of 2013 35th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1579-1582, Jul. 2013.
  3. [3] A. T. Asbeck, S. M. D. Rossi, I. Galiana, Y. Ding, and C. J. Walsh, “Stronger, Smarter, Softer: Next-Generation Wearable Robots,” IEEE Robotics & Automation Magazine, Vol.21, No.4, pp. 1579-1582, Dec. 2014.
  4. [4] S. Tsukada, S. Park, S. Nakamura, T. Yamaguchi, and S. Hashimoto, “Development of an interface operated by mouse action,” Proc. of The 11th SICE System Integration Division Annual Conf., pp. 1274-1277, Dec. 2010 (in Japanese).
  5. [5] M. Rolf and J. J. Steil, “Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant,” Proc. of 2012 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), pp. 3440-3446, Oct. 2012.
  6. [6] T. Mahl, A. Hildebrandt, and O. Sawodny, “A Variable Curvature Continuum Kinematics for Kinematic Control of the Bionic Handling Assistant,” IEEE Trans. on Robotics, Vol.30, pp. 935-949, Aug. 2014.
  7. [7] D. Matsuoka, G. Enriquez, H. E. Yap, and S. Hashimoto, “Development of a Lightweight Manipulator with Constraint Mechanism,” Proc. of 2014 Int. Symposium on Micro-Nano Mechatronics and Human Science (MHS2014), pp. 83-86, Nov. 2014.
  8. [8] A. Khasnobisha, S. Dattab, D. Sardarb, D. Tibarewalaa, and A. Konarb, “Interfacing robotic tactile sensation with human vibrotactile perception for digit recognition,” Robotics and Autonomous Systems, Vol.71, pp. 166-179, Sep. 2015.
  9. [9] C. L. Fernando, M. Furukawa, T. Kurogi, S. Kamuro, K. Sato, K. Minamizawa, and S. Tachi, “Design of TELESAR V for Transferring Bodily Consciousness in Telexistence,” Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 5112-5118, Oct. 2012.
  10. [10] M. Prasad, P. Taele, D. Goldberg, and T. A. Hammond, “HaptiMoto: Turn-by-Turn Haptic Route Guidance Interface for Motorcyclists,” Proc. of the SIGCHI Conf. on Human Factors in Computing Systems (CHI), pp. 3597-3606, Apr. 2014.
  11. [11] K. Bark, E. Hyman, F. Tan, E. Cha, S. A. Jax, L. J. Buxbaum, and K. J. Kuchenbecker, “Effects of Vibrotactile Feedback on Human Learning of Arm Motions,” IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol.23, No.1, pp. 51-63, Jun. 2015.
  12. [12] T. Nishio, G. Enriquez, H. E. Yap, T. Yamaguchi, and S. Hashimoto, “Evaluation of Blind Robot Manipulation Using Vibratory Haptic Display and Two-joint Robot Arm,” Proc. of The 2015 JSME Conf. on Robotics and Mechatronics (ROBOMECH), pp. 1P1-U02, May 2015 (in Japanese).
  13. [13] F. Parietti and H. H. Asada, “Supernumerary Robotic Limbs for Aircraft Fuselage Assembly: Body Stabilization and Guidance by Bracing,” Proc. of 2014 IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 1176-1183, May 2014.
  14. [14] F. Parietti, K. C. Chan, B. Hunter, and H. H. Asada, “Design and Control of Supernumerary Robotic Limbs for Balance Augmentation,” Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 5010-5017, May 2015.
  15. [15] H. A. Caltenco, E. R. Lontis, S. A. Boudreau, B. Bentsen, J. Struijk, and L. N. S. A. Struijk, “Tip of the Tongue Selectivity and Motor Learning in the Palatal Area,” IEEE Trans. on Biomedical Engineering, Vol.59, No.1, pp. 174-182, Sep. 2012.
  16. [16] E. R. Lontis and L. N. S. A. Struijk, “Alternative Design of Inductive Pointing Device for Oral Interface for Computers and Wheelchairs,” Proc. of 2012 34th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3328-3331, Aug. 2012.
  17. [17] E. R. Lontis and L. N. S. A. Struijk, “Mapping Sensor Activation Time for Typing Tasks Performed with a Tongue Controlled Oral Interface,” Proc. of 2013 35th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5911-5913, Jul. 2013.
  18. [18] Y. Takei, K. Noda, T. Kawai, T. Tachimura, Y. Toyama, T. Ohmori, K. Matsumoto, and I. Shimoyama, “Triaxial force sensor for lingual motion sensing,” Proc. of the 25th IEEE Int. Conf. on Micro Electro Mechanical Systems (MEMS), pp. 128-131, Jan. 2012.
  19. [19] Y. Nam, Q. Zhao, A. Cichocki, and S. Choi, “Tongue-Rudder: A Glossokinetic-Potential-Based Tongue Machine Interface,” IEEE Trans. on Biomedical Engineering, Vol.59, No.1, pp. 290-299, Oct. 2012.
  20. [20] M. Miyauchi, T. Kimura, and T. Nojima, “A Tongue Training System for Children with Down Syndrome,” Proc. of the 26th Annual ACM Symposium on User Interface Software and Technology (UIST), pp. 373-376, Oct. 2013.
  21. [21] K. Kuzume, “Evaluation of Tooth-touch Sound and Expiration Based on Mouse Device for Disabled Persons,” Proc. of IEEE Int. Conf. on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 387-390, Mar. 2012.
  22. [22] Y.-P. Huang and K.-N. Huang, “Monitoring of Breathing Rate by a Piezofilm Sensor Using Pyroelectric Effect,” Proc. of Int. Conf. on Orange Technologies (ICOT), pp. 99-102, Mar. 2013.
  23. [23] M. Sakairi, “Water-Cluster-Detecting Breath Sensor and Application in Cars for Detecting Drunk or Drowsy Driving,” IEEE Sensor J., Vol.12, No.5, pp. 1078-1083, May 2012.
  24. [24] M. Yamamoto, T. Ikeda, and Y. Sasaki, “Real-time Analog Input Device Using Breath Pressure for the Operation Powered Wheelchair,” Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 3914-3919, May 2008.
  25. [25] S. Sessa, M. Zecca, Z. Lin, L. Bartolomeo, H. Ishii, and A. Takanishi, “A Methodology for the Performance Evaluation of Inertial Measurement Units,” J. of Intelligent & Robotic Systems, Vol.71, No.2, pp. 143-157, Sep. 2013.
  26. [26] U. Koike, G. Enriquez, H. E. Yap, T. Miwa, and S. Hashimoto, “Development of Intraoral Interface Using 9-DOF IMU and Its Evaluation,” Proc. of The 2014 JSME Conf. on Robotics and Mechatronics (ROBOMECH), 2A2-K04, May 2014 (in Japanese).
  27. [27] U. Koike, G. Enriquez, H. E. Yap, T. Miwa, and S. Hashimoto, “Development of Intraoral Interface Using IMU and Pressure Sensor and Its Evaluation,” Proc. of The 2015 JSME Conf. on Robotics and Mechatronics (ROBOMECH), pp. 1A1-K06, May 2015 (in Japanese).
  28. [28] T. Kera, “Characteristics of Respiratory Muscle,” Rigakuryoho Kagaku, Vol.14, No.4, pp. 231-238, Jan. 2001.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, IE9,10,11, Opera.

Last updated on Nov. 20, 2018