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Gaze-controlled driving
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Spotlight on work in progress session 2 table of contents
Pages 4387-4392  
Year of Publication: 2009
ISBN:978-1-60558-247-4
Authors
Martin Tall  IT University of Copenhagen, Copenhagen, Denmark
Alexandre Alapetite  Technical University of Denmark, Copenhagen, Denmark
Javier San Agustin  IT University of Copenhagen, Copenhagen, Denmark
Henrik H.T Skovsgaard  IT University of Copenhagen, Copenhagen, Denmark
John Paulin Hansen  IT University of Copenhagen, Copenhagen, Denmark
Dan Witzner Hansen  IT University of Copenhagen, Copenhagen, Denmark
Emilie Møllenbach  Loughborough University, Loughborough, England UK
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

We investigate if the gaze (point of regard) can control a remote vehicle driving on a racing track. Five different input devices (on-screen buttons, mouse-pointing low-cost webcam eye tracker and two commercial eye tracking systems) provide heading and speed control on the scene view transmitted from the moving robot. Gaze control was found to be similar to mouse control. This suggests that robots and wheelchairs may be controlled "hands-free" through gaze. Low precision gaze tracking and image transmission delays had noticeable effect on performance.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Mazo, M., Rodríguez, F.J., Lázaro, J.L., Ureña, J., García, J.C., Santiso, E., Revenga, P., García, J.J. (1995). Wheelchair for physically disabled people with voice, ultrasonic and infrared sensor control. Autonomous Robots 2(3):203--224.
 
2
Moon, I., Lee, M., Ryu, J., Mun, M. (2003). Intelligent robotic wheelchair with EMG-, gesture-, and voice-based interfaces. Proceedings of Intelligent Robots and Systems 2003, pp 3453--3458. DOI:10.1109/IROS.2003.1249690
 
3
Matsumoto Y., Ino, T. & Ogasawara, T. (2001). Development of Intelligent Wheelchair System with Face and Gaze Based Interface, Proceedings of 10th IEEE Int. Workshop on Robot and Human Communication (ROMAN 2001), pp. 262--267.
 
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Roberts, A., Pruehsner, W. & Enderle, J.D. (1999). Vocal, motorized, and environmentally controlled chair. Proceedings of the IEEE 25th Annual Northeast Bioengineering Conference, 1999, p. 33--34.
 
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Canzler, U. & Kraiss, K.-F. (2004). Person-Adaptive Facial Feature Analysis for an Advanced Wheelchair User-Interface. In: Paul Drews (Eds.): Conference on Mechatronics & Robotics 2004 , Volume Part III, pp. 871--876, September 13 -- 15, Aachen, Sascha Eysoldt Verlag, ISBN 3-938153-50-X
 
6
Hemin, O. L., Nasser, S. & Ahmad L. (2008) "Remote Control of Mobile Robots through Human Eye Gaze: The Design and Evaluation of an Interface", SPIE Europe Security and Defence 2008, Cardiff, UK

Collaborative Colleagues:
Martin Tall: colleagues
Alexandre Alapetite: colleagues
Javier San Agustin: colleagues
Henrik H.T Skovsgaard: colleagues
John Paulin Hansen: colleagues
Dan Witzner Hansen: colleagues
Emilie Møllenbach: colleagues