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Investigating the Feasibility of a Robot-Based Writing Agent

Published: 01 December 2013 Publication History

Abstract

Assistive technologies predominantly employ devices such as virtual keyboards and wheelchair controllers to enable handicapped individuals to interact with their environment. In the absence of assistive devices, a handicapped individual's only recourse is to rely on an attendant for assistance in performing daily activities. Assistive technologies therefore enable disabled person to regain a measure of independence. However, the state-of-the-art assistive technologies are limited in their abilities. There has been limited work on assistive writing agents.
A previous study investigated robot-based writing using a 5-axis industrial robot [8]. This paper investigates the feasibility of a robot-based writing agent using a lower capability3-axis device. This work is en route to the interfacing to a Brain-Computer Interface (BCI) for BCI-controlled robot writing. A full alphanumerical English character set was developed and implemented using the system. The generated characters were legible. Minor errors were evident in trajectory execution due to controller transience and frayed marker tips. However, these errors do not significantly demerit the legibility of the characters.The 3-axis robot was therefore able to generate legible text like the previous study [8] but with a lower capability device.

References

[1]
Iturrate, I., Antelis, J.,Kubler, A., Minguez, J., 2009, "A Non-Invasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation," IEEE Transactions on Robotics, vol. 25, no. 3, pp. 614-627
[2]
Andrews, S., Palaniappan, R.,Teoh, A., Kiong, L. C., 2008, "Enhancing P300 Component by Spectral Power Ratio Principal Components for a Single Trial Brain-Computer Interface",American Journal of Applied Science, vol.5, no. 6, pp. 639-644
[3]
Citi, L.,Poli, R., Cineland, C.,Supulveda, F., 2008, "P300-Based BCI Mouse With Genetically --Optimized Analogue Control", IEEE transactions on Neural Systems and Rehabilitation Engineering, vol. 16, no. 1, pp. 51-61
[4]
Serby, H., Yom-Tov, E.,Inbar, G. F., 2005, "An Improved P300-Based Brain-Computer Interface",IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 13, no. 1, pp. 89-98
[5]
Nijboer, F.,Sellers, E.W.,Mellingera, J.,Jordana, M.A., Matuza, T., Furdeaa, A.,Haldera, S.,Monchty, U., Krusienski, D. J., Vaughan, T.M., Wolpaw, J.R.,Birbaumer, N., Kubler, A., 2008, "A P300-based brain--computer interface for people with amyotrophic lateral sclerosis," Clinical Neurophysiology, vol. 119, pp. 1909-1916
[6]
Hoffman, U, Vesin, J., Ebrahimi, T., Diserens, K., 2007, "An efficient P300-based brain-computer interface for disabled subjects,"Journal of Neuroscience Methods, vol. 167, no. 1, pp. 115-125
[7]
Lal, T.N.,$$Schröder, M., Hill, N.J.,Hinterberger, T.,Mellinger, J.,Wetson, J.,Bogdan, M., Hofmann, T.,Birbaumer, N., Scholkopf, B., 2004, "Support Vector Channel Selection in BCI,"Proceedings of the 22nd International Conference on Machine Learning, pp. 465-472
[8]
Perez-Marcos, D., Buitrago J.A., Velasquez, F.D., 2011, "Writing through a robot: a proof of concept for a brain-machine interface", Med EngPhys, vol. 33, no. 10, pp. 1314-1320
[9]
Denavit, J., Hartenberg, R. S., 1955, "A kinematic notation for lower-pair mechanisms based on matrices". Trans ASME J. Appl. Mech, 23:215--221.

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cover image ACM Other conferences
ICCC '13: Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
December 2013
285 pages
ISBN:9781450321198
DOI:10.1145/2556871
  • General Chairs:
  • Min Wu,
  • Wei Lee,
  • Program Chairs:
  • Yiyi Zhouzhou,
  • Riza Esa,
  • Xiang Lee
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 2013

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Author Tags

  1. BCI
  2. Kinematics
  3. Robot
  4. Writing

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