INTEGRATION OF SMART USER INTERFACES IN THE NAVIGATION SYSTEM OF POWERED WHEELCHAIRS
Cristina Carletti, Sauro Longhi
2010
Abstract
This paper presents a navigation system that extends the use of Electric Powered Wheelchairs (EPWs) to people with upper limbs impairments that prevent them the control of a traditional joystick-driven EPW. To achieve this aim, an Automatic Speech Recognition (ASR) system and a Brain Computer Interface (BCI) have been introduced to enable the user to asynchronously perform and send the control commands to the navigation module, according to her/his limited residual capabilities. Moreover, a shared-control algorithm has been developed to translate the user's guidance wishes into directions of motion that maximize the security and minimize the physical and cognitive effort for the user. A preliminary analysis of the proposed navigation system showed satisfactory results in terms of security and fulfillment of the user wishes.
References
- Bell, D., Levine, S., Koren, Y., Jaros, L., and Borenstein, J. (1994). Design criteria for obstacle avoidance in a shared-control system. Proceedings of the RESNA International Conference, pages 581-583.
- Blatt, R., Ceriani, S., Seno, B. D., Fontana, G., Matteucci, M., and Migliore, D. (2008). Brain control of a smart wheelchair. Proceedings of the International Conference on Intelligent Autonomous System.
- Bourhis, G. and Pino, P. (1996). Mobile robotics and mobility assistance for people with motor impairments: rational justification for the vahm project. IEEE Transactions on Rehabilitation Engineering, 4(1):7-12.
- C.S.Lin, C.W.Ho, Chen, W., Chiu, C., and Yeh, M. (2006). Powered wheelchair controlled by eye-tracking system. Optica Applicata, 36(2-3):401-412.
- G.Bourhis and Sahnoun, M. (2007). Assisted control mode for a smart wheelchair. Proceedings of the International Conference on Rehabilitation Robotics.
- Hu, H., Jia, P., Lu, T., and Yuan, K. (2007). Head gesture recognition for hands-free control of an intelligent wheelchair. Industrial Robot: An International Journal, 34(1):60-68.
- Iturrate, I., J.Antelis, Minguez, J., and A.Kubler (2009). Non-invasive brain-actuated wheelchair based on a p300 neurophysiological protocol and automated navigation. IEEE Transactions on Robotics.
- Levine, S. P., Bell, D. A., Jaros, L. A., Simpson, R. C., Koren, Y., and Borenstein, J. (1999). The navchair assistive wheelchair navigation system. IEEE Transactions on Rehabilitation Engineering, 7(4):443-451.
- Lotte, F., Congedo, M., Lcuyer, A., Lamarche, F., and Arnaldi, B. (2007). A review of classification algorithms for eeg-based brain-computer interfaces. Journal of Neural Engineering, 5(2):R1-R13.
- Millán, J. (2008). Brain-controlled robots. IEEE Intelligent Systems, 23:7476.
- Millán, J., Renkensb, F., Mourioc, J., and Gerstnerb, W. (2004). Non-invasive brain-actuated control of a mobile robot by human eeg. IEEE Transactions on Biomedical Engineering, 51(6):1026-1033.
- Simpson, R. and Levine, S. (2002). Voice control of a powered wheelchair. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 10(2):122-125.
- Simpson, R., Poirot, D., and Baxter, M. F. (1999). Evaluation of the hephaestus smart wheelchair system. Proceedings of the International Conference on Rehabilitation Robotics, ICORR'99, pages 99-105.
- Simpson, R. C. and Levine, S. P. (1999). Automatic adaptation in the navchair assistive wheelchair navigation system. IEEE Transactions on Rehabilitation Engineering, 7(4):452-463.
- T.Gomi and Griffith, A. (1998). Developing intelligent wheelchairs for the handicapped. Assistive Technology and Artificial Intelligence, 1458:151-178.
- Wolpaw, J., Birbaumer, N., McFarland, D., Pfurtscheller, G., and Vaughan, T. (2002). Brain-computer interfaces for communication and control. Clinical Neurophysiology, 113:767-791.
- Yanco, H. (1998). Wheelesley: A robotic wheelchair system: Indoor navigation and user interface. Assistive Technology and Artificial Intelligence, 1458:256-268.
- Yanco, H. and Gips, J. (1997). Preliminary investigation of a semi-autonomous robotic wheelchair direct through electrodes. Proced. of the Rehabilitation Engineering Society of North America Annual Conference, RESNA Press:141-146.
Paper Citation
in Bibtex Style
@conference{biodevices10,
author={Cristina Carletti and Sauro Longhi},
title={INTEGRATION OF SMART USER INTERFACES IN THE NAVIGATION SYSTEM OF POWERED WHEELCHAIRS},
booktitle={Proceedings of the Third International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2010)},
year={2010},
pages={121-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002749301210126},
isbn={978-989-674-017-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Third International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2010)
TI - INTEGRATION OF SMART USER INTERFACES IN THE NAVIGATION SYSTEM OF POWERED WHEELCHAIRS
SN - 978-989-674-017-7
AU - Carletti C.
AU - Longhi S.
PY - 2010
SP - 121
EP - 126
DO - 10.5220/0002749301210126
in Harvard Style
Carletti C. and Longhi S. (2010). INTEGRATION OF SMART USER INTERFACES IN THE NAVIGATION SYSTEM OF POWERED WHEELCHAIRS . In Proceedings of the Third International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2010) ISBN 978-989-674-017-7, pages 121-126. DOI: 10.5220/0002749301210126