Towards a User-wheelchair Shared Control Paradigm for Individuals with Severe Motor Impairments

Alfredo Chávez Plascencia, Jaroslav Rozman

2016

Abstract

This paper presents a work in progress study of a novel user-wheelchair shared control paradigm for individuals with severe motor impairments, which consists of an optimal distribution between several modes, from full user control up to autonomous driving one. To this end, a C400 Permobil wheelchair has been equipped with a control command communication interface and with a scanning laser and a RGB-D sensors to carry out the automation algorithms that are part of the robot operating system (ROS) framework. Moreover, sensor data fusion for map making based on the Bayesian method is applied to the Xtion Pro Live RGB-D camera and the Hokuyo laser sensor data readings. These latter are interpreted by a probabilistic heuristic model that abstracts the beam into a ray casting to an occupied grid cell. Preliminary pilot tests were performed in two different room shapes. The first one in a two room laboratory with a narrow doorway, and the second one in a corridor. The former experiment was dropped due to failure to success, whereas, the latter was a successful one. This has been tested with three different modalities; hand-joystick, tongue-joystick and autonomous modes respectively. The successful results of the second pilot-test have proven the feasibility of using a combination of autonomous and manual control of a powered wheelchair in order to continue development towards a shared-control paradigm.

References

  1. Andreasen, S. L. N. S. (2006). An inductive tongue computer interface for control of computers and assistive devices. IEEE Transactions on biomedical Engineering, 53(12):2594-2597.
  2. Caltenco, H. A., Lontis, E. R., and Andreasen, S. L. (2011). Fuzzy Inference System for Analog Joystick Emulation with an Inductive Tongue-Computer Interface. In 15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC 2011), volume 34, pages 191-194. IEEE, Springer Berlin Heidelberg.
  3. Chávez, P. A. and Karstoft, H. (2014). Map building based on a xtion pro live rgbd and a laser sensors. Journal of Information Technology & Software Engineering.
  4. Christensen, H. V. and Garcia, J. C. (2003). Infrared Non-Contact Head Sensor, for Control of Wheelchair Movements. Assistive Technology: From Virtuality to Reality, A. Pruski and H. Knops (Eds) IOS Press, pages 336-340.
  5. Cooper, R., Boninger, M., Kwarciak, A., and Ammer, B. (2002). Development of power wheelchair chinoperated force-sensing joystick. In [Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] EMBS/BMES Conference, 2002. Proceedings of the Second Joint, volume 3, pages 2373-2374. IEEE.
  6. Elfes, A. (1989a). A tessellated probabilistic representation for spatial robot perception and navigation. Proceedings NASA Publications, 3(N90).
  7. Elfes, A. (1989b). Using occupancy grids for mobile robot perception and navigation. Computer, 22(6):46-57.
  8. Faria, B. M., Reis, L. P., and Lau, N. (2013). Manual, automatic and shared methods for controlling an intelligent wheelchair: Adaptation to cerebral palsy users. In: 13th International Conference on Autonomous Robot Systems and Competitions, pages 26-31.
  9. Garrido, S., Moreno, L., Abderrahim, M., and Monar, F. M. (2006). Path planning for mobile robot navigation using voronoi diagram and fast marching. In IROS, pages 2376-2381. iSBN: 1-4244-0259-X.
  10. Jeonghee, K., Xueliang, H., and Maysam, G. (2008). Wireless control of powered wheelchairs with tongue motion using tongue drive assistive technology. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2008:4199-4202.
  11. Jeonghee, K., Xueliang, H., Minocha, J., Holbrook, J., Laumann, A., and Maysam, G. (2012). Evaluation of a smartphone platform as a wireless interface between tongue drive system and electric-powered wheelchairs. IEEE Trans. Biomed. Engineering, 59(6):1787-1796.
  12. Jiding, D., Zhijun, L., Chenguang, Y., and Peng, X. (2014). Shared control of a brain-actuated intelligent wheelchair. pages 341-346. IEEE.
  13. Lund, M. E., Christiensen, H. V., Caltenco, H. A., Lontis, E. R., Bentsen, B., and Andreasen, S. L. N. (2010). Inductive tongue control of powered wheelchairs. In Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 3361-3364. Isbn = 978-1-4244- 4123-5.
  14. Moravec, H. and Elfes, A. (1985). High resolution maps from wide angle sonar. In Robotics and Automation. Proceedings. 1985 IEEE International Conference on, volume 2, pages 116-121. IEEE.
  15. Petry, M., Paulo, A. M., Braga, R., and Paulo, L. R. (2010). Shared control for obstacle avoidance in intelligent wheelchairs. in IEEE Conference on Robotics, Automation and Mechatronics, pages 182-187.
  16. Quigley, M., Conley, K., Gerkey, B., Faust, J., Foote, T. B., Leibs, J., Wheeler, R., and Ng, A. Y. (2009). ROS: an open-source robot operating system. In ICRA Workshop on Open Source Software.
  17. San Agustin, J., Mateo, J., Paulin, H. J., and Villanueva, A. (2009). Evaluation of the potential of gaze input for game interaction. PsychNology Journal, 7(2):213- 236.
  18. Simpson, R. C., LoPresti, E. F., and Cooper, R. A. (2008). How many people would benefit from a smart wheelchair? Journal of Rehabilitation Research and Development, 45(1):53-72.
  19. Ste?pán, P., Kulic, M., and P?reuc?il, L. (2005). Robust data fusion with occupancy grids. In IEEE Transactions on Systems, Man, and Cybernetics, pages 106-115. IEEE.
  20. Torsten, Felzer and Rainer, Nordman (2007). Alternative wheelchair control. In Proc. Int. IEEE-BAIS Symp., Res. Assistive Technol., pages 67-74.
  21. Xueliang, H. and Maysam, G. (2010). Evaluation of a wireless wearable tongue-computer interface by individuals with high-level spinal cord injuries. Journal of Neural Engineering, 7(2). ISBN: 17412560.
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Paper Citation


in Harvard Style

Plascencia A. and Rozman J. (2016). Towards a User-wheelchair Shared Control Paradigm for Individuals with Severe Motor Impairments . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-198-4, pages 246-253. DOI: 10.5220/0005973302460253


in Bibtex Style

@conference{icinco16,
author={Alfredo Chávez Plascencia and Jaroslav Rozman},
title={Towards a User-wheelchair Shared Control Paradigm for Individuals with Severe Motor Impairments},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2016},
pages={246-253},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005973302460253},
isbn={978-989-758-198-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Towards a User-wheelchair Shared Control Paradigm for Individuals with Severe Motor Impairments
SN - 978-989-758-198-4
AU - Plascencia A.
AU - Rozman J.
PY - 2016
SP - 246
EP - 253
DO - 10.5220/0005973302460253