single-rb.php

JRM Vol.25 No.3 pp. 553-558
doi: 10.20965/jrm.2013.p0553
(2013)

Paper:

Basic Study of Touchless Human Interface Using Net Structure Proximity Sensors

Ichiro Miyamoto*, Yosuke Suzuki*, Aiguo Ming*,
Masatoshi Ishikawa**, and Makoto Shimojo*

*The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan

**The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan

Received:
October 19, 2012
Accepted:
April 22, 2013
Published:
June 20, 2013
Keywords:
human interface, proximity sensor, human motion, computer interface
Abstract
In this paper, we examine the touchless human interface using proximity sensors array. Touchless human interfaces, including Microsoft’s Kinect, are being studied intensively. We have developed Registor Network-Structure Proximity Sensor featuring a highspeed response, touchless operation, and freely determined arrangement. It is thought that intuitive input is possible by using a human interface with highspeed response proximity sensors. We simulated interface sensor output and examined the possibility to distinguish gestures performed using sensors in experiments.
Cite this article as:
I. Miyamoto, Y. Suzuki, A. Ming, M. Ishikawa, and M. Shimojo, “Basic Study of Touchless Human Interface Using Net Structure Proximity Sensors,” J. Robot. Mechatron., Vol.25 No.3, pp. 553-558, 2013.
Data files:
References
  1. [1] K. K. Biswas and S. K. Basu, “Gesture Recognition using Microsoft Kinect,“ Proc. of the 5th Int. Conf. on Automation, Robotics and Applications, Wellington, New Zealand, Dec. 6-8, 2011.
  2. [2] E. N. Saba, E. C. Larson, and S. N. Patel, “Dante Vision: In-Air and Touch Gesture Sensing for Natural Surface Interaction with Combined Depth and Thermal Cameras,“ Emerging Signal Processing Applications (ESPA), 2012 IEEE Int. Conf. on Digital Object Identifier, 2012.
  3. [3] C. Papadopoulos, D. Sugarman, and A. Kaufmant, “NuNav3D: A Touch-less, Body-driven Interface for 3D Navigation,“ Virtual Reality Workshops (VR), IEEE, 2012.
  4. [4] D. Matsuda, K. Uemura, N. Sakata, and S. Nishida, “Toe Input using a Mobile Projector and Kinect Sensor,“ Wearable Computers (ISWC), 16th Int. Symposium on Digital Object Identifie, 2012.
  5. [5] M. Shimojo and S. Amamoto, “Mesh Structure Proximity Sensor Capable of being Attached to Free-form Surface with a Few Wires,“ The Robotics Society of Japan 24th Robotics Symposia, 1C24, 2006 (in Japanese).
  6. [6] K. Terada, H. Hasegawa, N. Kota, Y. Suzuki, A.Ming, M. Ishikawa, and M. Shimojo, “Development of Net Structure Proximity Sensor – Simplification of the Sensor Circuit –,“ The Society of Instrument and Control Engineer 2010, SY0016/10/0000-1784, 2010 (in Japanese).
  7. [7] K. Terada, Y. Suzuki, H. Hasegawa, S. Sone, A.Ming, M. Ishikawa, and M. Shimojo, “Development of Omni-directional and Fastresponsive Net-structure Proximity Sensor,“ 2011 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2011), pp. 1954-1961, 2011.
  8. [8] H. Hasegawa, Y. Mizoguchi, K. Tadakuma, A. Ming, M. Ishikawa, and M. Shimojo, “Development of Intelligent Robot Hand using Proximity, Contact and Slipsensing,“ Proc. of 2010 IEEE Int. Conf. on Robotics and Automation (ICRA 2010), pp. 777-784, 2010.
  9. [9] S. Ye, K. Suzuki, Y. Suzuki, M. Ishikawa, and M. Shimojo, “Robust Robotic Grasping Using IR Net-Structure Proximity Sensor to Handle Objects with Unknown Position and Attitude,“ Proc. of 2013 IEEE Int. Conf. on Robotics and Automation (ICRA 2010), pp. 3256-3263, 2013.
  10. [10] Y. Mukouyama, “A study on 3-dimensional element placement of Mesh of Proximity Sensor: Photoelectric Proximity Sensor Simulation using Ray-Tracing,“ The Robotics and Mechatronics Conf. 2011, 2P1-O15, 2011 (in Japanese).

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

Last updated on Dec. 06, 2024