ABSTRACT
This paper presents an intelligent wheelchair designed to be used as a development and evaluation platform for alternative, non-tactile power wheelchair controls. The system is designed to be highly modular such that new human-computer interface devices and methods can be quickly integrated and evaluated as necessary. The current configuration provides full proportional steering and speed control outputs using a combination of voice commands, video-occulography (eye tracking), and a single point electrode based electroencephalography (EEG) brain-computer interface.
- P. Beeson, M. MacMahon, J. Modayil, A. Murarka, B. Kuipers, and B. Stankiewicz. Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication. In AAAI Spring Symposium Series, Interaction Challenges for Intelligent Assistants, number Golledge, 2007.Google Scholar
- K. Crowley, A. Sliney, I. Pitt, and D. Murphy. Evaluating a Brain-Computer Interface to Categorise Human Emotional Response. 2010 10th IEEE International Conference on Advanced Learning Technologies, pages 276--278, July 2010. Google ScholarDigital Library
- F. Doshi and N. Roy. Spoken Language Interaction with Model Uncertainty: An Adaptive Human-Robot Interaction System. Connection Science, 0(0), 2008. Google ScholarDigital Library
- M. Grierson and C. Kiefer. Better brain interfacing for the masses. In Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems - CHI EA '11, page 1681, New York, New York, USA, 2011. ACM Press. Google ScholarDigital Library
- S. Gulati and B. Kuipers. High performance control for graceful motion of an intelligent wheelchair. 2008 IEEE International Conference on Robotics and Automation, pages 3932--3938, May 2008.Google ScholarCross Ref
- S. Hemachandra, T. Kollar, N. Roy, and S. Teller. Following and interpreting narrated guided tours. In 2011 IEEE International Conference on Robotics and Automation, pages 2574--2579. IEEE, May 2011.Google ScholarCross Ref
- D. Huggins-Daines, M. Kumar, A. Chan, A. Black, M. Ravishankar, and A. Rudnicky. Pocketsphinx: A Free, Real-Time Continuous Speech Recognition System for Hand-Held Devices. In 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, volume 1, pages I--185--I--188. IEEE.Google Scholar
- D. Li, J. Babcock, and D. J. Parkhurst. openEyes: a low-cost head-mounted eye-tracking solution. In Proceedings of the 2006 symposium on Eye tracking research & applications - ETRA '06, page 95, New York, New York, USA, 2006. ACM Press. Google ScholarDigital Library
- Z. Lieberman, C. Sugrue, T. Watson, J. Powderly, E. Roth, and T. Quan. The EyeWriter, 2009.Google Scholar
- A. Murarka, J. Modayil, and B. Kuipers. Building Local Safety Maps for a Wheelchair Robot using Vision and Lasers. In The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), pages 25--25. IEEE. Google ScholarDigital Library
- M. Quigley, B. Gerkey, K. Conley, J. Faust, T. Foote, J. Leibs, E. Berger, R. Wheeler, and A. Y. Ng. ROS: an open-source Robot Operating System. Proc. Open-Source Software workshop of the International Conference on Robotics and Automation (ICRA), 2009.Google Scholar
- J. San Agustin, H. Skovsgaard, E. Mollenbach, M. Barret, M. Tall, D. W. Hansen, and J. P. Hansen. Evaluation of a low-cost open-source gaze tracker. In Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications - ETRA '10, page 77, New York, New York, USA, 2010. ACM Press. Google ScholarDigital Library
- N. Sato, I. Yoda, and T. Inoue. Shoulder gesture interface for operating electric wheelchair. In 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pages 2048--2055. IEEE, Sept. 2009.Google ScholarCross Ref
- L. Świrski, A. Bulling, and N. Dodgson. Robust real-time pupil tracking in highly off-axis images. In Proceedings of the Symposium on Eye Tracking Research and Applications - ETRA '12, page 173, New York, New York, USA, 2012. ACM Press. Google ScholarDigital Library
- D. Winfield and D. Parkhurst. Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops, volume 3, pages 79--79. IEEE, 2005. Google ScholarDigital Library
- H. Yanco and J. Gips. Preliminary investigation of a semi-autonomous robotic wheelchair directed through electrodes. Proceedings of the Rehabilitation Engineering Society of North America 1997 Annual Conference, (June):414--416, 1997.Google Scholar
- H. A. Yanco. Wheelesley: A Robotic Wheelchair System: Indoor Navigation and User Interface. pages 256--268, 1998. Google ScholarDigital Library
- I. Yoda, K. Sakaue, and T. Inoue. Development of head gesture interface for electric wheelchair. In Proceedings of the 1st international convention on Rehabilitation engineering & assistive technology in conjunction with 1st Tan Tock Seng Hospital Neurorehabilitation Meeting - i-CREATe '07, number 1, page 77, New York, New York, USA, 2007. ACM Press. Google ScholarDigital Library
Index Terms
- A development and evaluation platform for non-tactile power wheelchair controls
Recommendations
A Simulation Platform for the Brain-Computer Interface (BCI) Based Smart Wheelchair
Artificial Intelligence and SecurityAbstractIn this paper, we develop a simulation platform for the Brain-Computer Interface (BCI) based smart wheelchair. The main contribution of our system is to implement an efficient simulation platform for the next generation wheelchair. Meanwhile, due ...
Kinetic evaluation of a tactile interface for steering a power wheelchair: a pilot study
IHM '17: Proceedings of the 29th Conference on l'Interaction Homme-MachinePower wheelchairs are, for many people, the only way to regain an autonomy of mobility. Unfortunately, some categories of people with disabilities do not have access to one because of the incompatibility of the classical steering device (joystick) with ...
Tactile Interface to Steer Power Wheelchairs: A Preliminary Evaluation with Wheelchair Users
Computers Helping People with Special NeedsAbstractPower Wheelchairs can be a necessity for many people to have a certain level of mobility. Unfortunately, some of them may not be able to use one because they cannot safely manipulate a joystick. In a previous study, we proposed a tactile interface ...
Comments