A METHODOLOGY FOR CREATING INTELLIGENT WHEELCHAIR USERS’ PROFILES

Brígida Mónica Faria, Sérgio Vasconcelos, Luis Paulo Reis, Nuno Lau

Abstract

Intelligent Wheelchair (IW) is a new concept aiming to allow higher autonomy to people with lower mobility such as disabled or elderly individuals. Some of the more recent IWs have a multimodal interface, enabling multiple command modes such as joystick, voice commands, head movements, or even facial expressions. In these IW it may be very useful to provide the user with the best way of driving it through an adaptive interface. This paper describes the foundations for creating a simple methodology for extracting user profiles, which can be used to adequately select the best IW command mode for each user. The methodology is based on an interactive wizard composed by a flexible set of simple tasks presented to the user, and a method for extracting and analyzing the user’s execution of those tasks. The results achieved showed that it is possible to extract simple user profiles, using the proposed method. Thus, the approach may be further used to extract more complete user profiles, just by extending the set of tasks used, enabling the adaptation of the IW interface to each user’s characteristics.

References

  1. Adachi, Y., Kuno, Y., Shimada, N., Shirai, N., 1998. Intelligent wheelchair using visual information on human faces. In International Conference in Intelligent Robots and Systems, vol. 1, pp. 354-359.
  2. Bell, D. A., Borenstein, J., Levine, S. P., Koren, Y.; Jaros, J., 1994. An assistive navigation system for wheelchairs based upon mobile robot obstacle avoidance. In IEEE Conf. on Robotics and Automation, pp. 2018-2022.
  3. Borgerding, B., Ivlev, O., Martens, C., Ruchel, N., Gräser, A., 1999. FRIEND: Functional robot arm with user friendly interface for disabled people. In 5th European Conf. for the Ad-vancement of Assistive Technology.
  4. Braga, R., Petry, M., Moreira, A.P., Reis, L.P., 2009. Concept and Design of the Intellwheels Platform for Developing Intelligent Wheelchairs. In LNEE/ Informatics in Control, Automation and Robotics, vol. 37, pp. 191-203.
  5. Cypher, A., Halbert, D. C., 1994. Watch what I do: programming by demonstration. A. Cypher and D. C. Halbert, Eds. Massachusetts, USA: Library of Congress.
  6. Faria, P.M., Braga, R., Valgôde, E., Reis, L.P., 2007. Interface framework to drive an intelligent wheelchair using facial expressions. In IEEE International Symposium on Industrial Electronics, Vigo, pp. 1791- 1796.
  7. Gao, C., Hoffman, I., Miller, T., Panzarella, T., Spletzer, J., 2008. Performance Characterization of LIDAR Based Localization for Docking a Smart Wheelchair System. In Internationsl Conference on Intelligent Robots and Systems, San Diego.
  8. Hamagami, T., Hirata, H., 2004. Development of Intelligent Wheelchair acquiring autonomous, cooperative and collaborative behaviour. In IEEE International Conference on Systems Man and Cybernetics, vol. 4, pp. 3525-3530.
  9. Horn, O., Kreutner, M., 2009. Smart wheelchair perception using odometry, ultrasound sensors and camera. Robotica, vol. 27, no. 2, pp. 303-310, March.
  10. Hoyer, H., Hölper, R., 1993. Open control architecture for an intelligent omnidirectional wheelchair. In Proc.1st TIDE Congress, Brussels, pp. 93-97.
  11. Jia, P., Hu, H., Lu, T., Yuan, K., 2007. Head Gesture Recognition for Hands-free Control of an Intelligent Wheelchair. Journal of Industrial Robot, vol. 34, no. 1, pp. 60-68.
  12. Jia, P., Hu, H., Lu, T., Yuan, K., 2007. Head Gesture Recognition for Hands-free Control of an Intelligent Wheelchair. Journal of Industrial Robot, vol. 34, no. 1.
  13. Lakany, H., 2005. Steering a wheelchair by thought. IEE Digest, vol. 2005, no. 11059, pp. 199-202, The IEE International Workshop on Intelligent Environments.
  14. Langley, P., 1997. Machine learning for adaptive user interfaces. In Proceedings of the 21st Ger-man Annual Conference on Artificial Intelligence, Freiburg, p. 53- 62.
  15. Langley, P., 1999. User modeling in adaptive interface. In Proceedings of the seventh international conference on User modeling, Banff, pp. 357-370.
  16. Levine, S. P., Bell, D. A., Jaros, L. A., Simpson, R. C., Koren, Y., 1999. The NavChair assistive wheelchair navigation system. In IEEE Transactions on Rehabilitation Engineering, vol. 7, pp. 443-451.
  17. Madarasz, R. L., Heiny, L. C., Cromp, R. F., Mazur, N. M., 1986. The design of an autonomous vehicle for the disabled. IEEE Journal of Robotics and Automation, vol. 2, no. 3, pp. 117-126, September.
  18. Maes, P., 1996. Intelligent Software: Programs That Can Act Independently Will Ease the Burdens that Computers Put on People. IEEE Expert Systems, vol. 11, no. 6, pp. 62-63, February.
  19. Miller D., Slack, M., 1995. Design and testing of a lowcost robotic wheelchair. In Autonomous Robots, vol. 2, pp. 77-88.
  20. Miller, D.P., 1998. Assistive Robotics: An Overview. In Assistive Technology and AI, pp. 126-136.
  21. Ng, P. C., De Silva, L. C., 2001. Head gestures recognition. In Proceedings International Conference on Image Processing, pp. 266-269.
  22. Norcio, A. F., Stanley, J., 1989. Adaptive HumanComputer Interfaces: A Literature Survey and Perspective. IEEE Transactions on Systems, Man and Cybernetics, vol. 19, no. 2, pp. 399-408, March.
  23. Pruski, A., Ennaji, M., Morere, Y., 2002. VAHM: A user adapted intelligent wheelchair. In Proceedings of the 2002 IEEE International Conference on Control Applications, Glasgow, p. 784789.
  24. Rebsamen B., Rebsamen, B., Burdet, E., Guan, C., Haihong Zhang, Chee Leong Teo, Qiang Zeng, Ang, M., Laugier, C., 2006. A Brain-Controlled Wheelchair Based on P300 and Path Guidance. In IEEE/RASEMBS International Conference , vol. 20, pp. 1101- 1106.
  25. Reis, L. P., Braga, R., Sousa, M., Moreira, A. P., 2010. Intellwheels MMI: A Flexible Interface for an Intelligent Wheelchair. RoboCup 2009: Robot Soccer World Cup XIII, Springer Ber-lin/Heidelberg, LNCS, vol. 5949, Graz, pp. 296-307.
  26. Ross, E., 2000. Intelligent User Interfaces: Survey and Research Directions. University of Bristol, Bristol, Technical Report: CSTR-00-004.
  27. Satoh Y., Sakaue, K., 2007. An Omnidirectional Stereo Vision-Based Smart Wheelchair. EURASIP Journal on Image and Video, p. 11.
  28. Simpson, R., 1998. NavChair: An Assistive Wheelchair Navigation System with Automatic Adaptation. In Assistive Technology and Artificial Intelligence. Berlin: Springer-Verlag Berlin Heidelberg, p. 235.
  29. Simpson, R. C., 2005. Smart wheelchairs: A literature review. Journal of Rehabilitation Research and Development, vol. 42 (4), pp. 423-436.
  30. Volosyak, I., Ivlev, O., Graser, A., 2005. Rehabilitation robot FRIEND II - the general concept and current implementation. In ICORR 2005 - 9th International Conference on Rehabilitation Robotics, Chicago, pp. 540-544.
  31. Wellman, P., Krovi, V., Kumar, V., 1994. An adaptive mobility system for the disabled. In Proc. IEEE Int. Conf. on Robotics and Automation.
  32. Wooldridge, M., 2002. An Introduction to Multi-Agent Systems. John Wiley & Sons.
Download


Paper Citation


in Harvard Style

Mónica Faria B., Vasconcelos S., Paulo Reis L. and Lau N. (2012). A METHODOLOGY FOR CREATING INTELLIGENT WHEELCHAIR USERS’ PROFILES . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 171-179. DOI: 10.5220/0003749701710179


in Bibtex Style

@conference{icaart12,
author={Brígida Mónica Faria and Sérgio Vasconcelos and Luis Paulo Reis and Nuno Lau},
title={A METHODOLOGY FOR CREATING INTELLIGENT WHEELCHAIR USERS’ PROFILES},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={171-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003749701710179},
isbn={978-989-8425-95-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A METHODOLOGY FOR CREATING INTELLIGENT WHEELCHAIR USERS’ PROFILES
SN - 978-989-8425-95-9
AU - Mónica Faria B.
AU - Vasconcelos S.
AU - Paulo Reis L.
AU - Lau N.
PY - 2012
SP - 171
EP - 179
DO - 10.5220/0003749701710179