Article

User and social interfaces by observing human faces for intelligent wheelchairs

Authors:

Yoshinori Kuno,

Yoshifumi Murakami,

Nobutaka ShimadaAuthors Info & Claims

PUI '01: Proceedings of the 2001 workshop on Perceptive user interfaces

Pages 1 - 4

https://doi.org/10.1145/971478.971514

Published: 15 November 2001 Publication History

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Abstract

With the increase in the number of senior citizens, there is a growing demand for human-friendly wheelchairs as mobility aids. Thus several intelligent wheelchairs have been proposed recently. However, they consider friendliness only to their users. Since wheelchairs move among people, they should also be friendly to people around them. In other words, they should have a social-friendly interface as well as a user-friendly interface. We propose an intelligent wheelchair that is friendly to both user and people around it by observing the faces of both user and others. The user can control it by turning his/her face in the direction where he/she would like to turn. It observes pedestrian's face and changes its collision avoidance method depending on whether or not he/she notices it. Here we assume that the pedestrian notices the wheelchair if his/her face often faces toward the wheelchair.

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Das TNath P(2021)Motor Imagery Based Fuzzy Logic Controlled Intelligent Wheelchair2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)10.1109/ICECCME52200.2021.9590987(1-6)Online publication date: 7-Oct-2021
https://doi.org/10.1109/ICECCME52200.2021.9590987
Reddy PMotaparthi NBalakrishna RSai Chaitanya KKumar NGanti L(2018)Eye Controlled Wheel Chair2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)10.1109/RTEICT42901.2018.9012240(1210-1213)Online publication date: May-2018
https://doi.org/10.1109/RTEICT42901.2018.9012240
Sono THasegawa KShinozawa KImai M(2016)A study on controlling method for an autonomous personal vehicle based on user's heart rate variability2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)10.1109/ROMAN.2016.7745258(1177-1182)Online publication date: Aug-2016
https://doi.org/10.1109/ROMAN.2016.7745258
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Index Terms

User and social interfaces by observing human faces for intelligent wheelchairs
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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Published In

PUI '01: Proceedings of the 2001 workshop on Perceptive user interfaces

November 2001

241 pages

ISBN:9781450374736

DOI:10.1145/971478

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 15 November 2001

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PUI01: Workshop on Perceptive User Interfaces

November 15 - 16, 2001

Florida, Orlando, USA

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Das TNath P(2021)Motor Imagery Based Fuzzy Logic Controlled Intelligent Wheelchair2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)10.1109/ICECCME52200.2021.9590987(1-6)Online publication date: 7-Oct-2021
https://doi.org/10.1109/ICECCME52200.2021.9590987
Reddy PMotaparthi NBalakrishna RSai Chaitanya KKumar NGanti L(2018)Eye Controlled Wheel Chair2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)10.1109/RTEICT42901.2018.9012240(1210-1213)Online publication date: May-2018
https://doi.org/10.1109/RTEICT42901.2018.9012240
Sono THasegawa KShinozawa KImai M(2016)A study on controlling method for an autonomous personal vehicle based on user's heart rate variability2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)10.1109/ROMAN.2016.7745258(1177-1182)Online publication date: Aug-2016
https://doi.org/10.1109/ROMAN.2016.7745258
Challagundla MYogeshwar Reddy KHarsha Vardhan N(2014)Automatic motion control of powered wheel chair by the movements of eye blink2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies10.1109/ICACCCT.2014.7019245(1003-1007)Online publication date: May-2014
https://doi.org/10.1109/ICACCCT.2014.7019245
Al-Haddad ASudirman ROmar CHui KJimin M(2012)Wheelchair Motion Control Guide Using Eye Gaze and Blinks Based on PointBug AlgorithmProceedings of the 2012 Third International Conference on Intelligent Systems Modelling and Simulation10.1109/ISMS.2012.23(37-42)Online publication date: 8-Feb-2012
https://dl.acm.org/doi/10.1109/ISMS.2012.23
Al-Haddad ASudirman ROmar CM. Tumari S(2012)Wheelchair motion control guide using eye gaze and blinks based on Bug algorithms2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences10.1109/IECBES.2012.6498151(398-403)Online publication date: Dec-2012
https://doi.org/10.1109/IECBES.2012.6498151
Jia SYan JFan JLi XGao L(2012)Multimodal intelligent wheelchair control based on fuzzy algorithm2012 IEEE International Conference on Information and Automation10.1109/ICInfA.2012.6246880(582-587)Online publication date: Jun-2012
https://doi.org/10.1109/ICInfA.2012.6246880
Al-Haddad ASudirman ROmar C(2011)Gaze at Desired Destination, and Wheelchair Will Navigate towards It. New Technique to Guide Wheelchair Motion Based on EOG SignalsProceedings of the 2011 First International Conference on Informatics and Computational Intelligence10.1109/ICI.2011.30(126-131)Online publication date: 12-Dec-2011
https://dl.acm.org/doi/10.1109/ICI.2011.30
Al-Haddad ASudirman ROmar C(2011)Guiding Wheelchair Motion Based on EOG Signals Using Tangent Bug AlgorithmProceedings of the 2011 Third International Conference on Computational Intelligence, Modelling & Simulation10.1109/CIMSim.2011.17(40-45)Online publication date: 20-Sep-2011
https://dl.acm.org/doi/10.1109/CIMSim.2011.17
Horn OKreutner M(2009)Smart wheelchair perception using odometry, ultrasound sensors, and cameraRobotica10.1017/S026357470800477327:2(303-310)Online publication date: 1-Mar-2009
https://dl.acm.org/doi/10.1017/S0263574708004773
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A wheelchair which can automatically move alongside a caregiver

Robotic wheelchair looking at all people

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A wheelchair which can automatically move alongside a caregiver

Robotic wheelchair looking at all people

Development of an Add-on Driving Unit for Attendant Propelled Wheelchairs with Sensorless Power Assistance

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