Adaptable navigational assistance for intelligent wheelchairs by means of an implicit personalized user model
Elderly and disabled people can experience considerable difficulties when driving a powered wheelchair, especially if they do not possess the fine steering capacities that are required to perform certain manoeuvres, like avoiding obstacles or docking at tables. In order to help these people, several...
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Published in: | Robotics and autonomous systems Vol. 58; no. 8; pp. 963 - 977 |
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31-08-2010
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Abstract | Elderly and disabled people can experience considerable difficulties when driving a powered wheelchair, especially if they do not possess the fine steering capacities that are required to perform certain manoeuvres, like avoiding obstacles or docking at tables. In order to help these people, several “intelligent” wheelchairs have been developed in the past, meaning that a powered wheelchair was endowed with the abilities to provide navigational assistance to its user. In such a scenario, control over the wheelchair is shared between the user and the intelligent assistance. The problem of the existing intelligent wheelchairs is, however, that the rules for assistance are hard-coded and by consequence not adaptable to the personal handicap and needs of a specific user. Therefore, this paper proposes a new, more user-centered approach to shared wheelchair control. The presented framework executes two tasks: it continuously estimates the user’s intention and it determines whether the user needs assistance to achieve that intention. An implicit user model is introduced and incorporated in the framework, in order to make the execution of both tasks adaptable to a specific user. This paper presents the proposed framework, along with experimental results in simulation and on a real wheelchair. |
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AbstractList | Elderly and disabled people can experience considerable difficulties when driving a powered wheelchair, especially if they do not possess the fine steering capacities that are required to perform certain manoeuvres, like avoiding obstacles or docking at tables. In order to help these people, several “intelligent” wheelchairs have been developed in the past, meaning that a powered wheelchair was endowed with the abilities to provide navigational assistance to its user. In such a scenario, control over the wheelchair is shared between the user and the intelligent assistance. The problem of the existing intelligent wheelchairs is, however, that the rules for assistance are hard-coded and by consequence not adaptable to the personal handicap and needs of a specific user. Therefore, this paper proposes a new, more user-centered approach to shared wheelchair control. The presented framework executes two tasks: it continuously estimates the user’s intention and it determines whether the user needs assistance to achieve that intention. An implicit user model is introduced and incorporated in the framework, in order to make the execution of both tasks adaptable to a specific user. This paper presents the proposed framework, along with experimental results in simulation and on a real wheelchair. Elderly and disabled people can experience considerable difficulties when driving a powered wheelchair, especially if they do not possess the fine steering capacities that are required to perform certain manoeuvres, like avoiding obstacles or docking at tables. In order to help these people, several "intelligent" wheelchairs have been developed in the past, meaning that a powered wheelchair was endowed with the abilities to provide navigational assistance to its user. In such a scenario, control over the wheelchair is shared between the user and the intelligent assistance. The problem of the existing intelligent wheelchairs is, however, that the rules for assistance are hard-coded and by consequence not adaptable to the personal handicap and needs of a specific user. Therefore, this paper proposes a new, more user-centered approach to shared wheelchair control. The presented framework executes two tasks: it continuously estimates the user's intention and it determines whether the user needs assistance to achieve that intention. An implicit user model is introduced and incorporated in the framework, in order to make the execution of both tasks adaptable to a specific user. This paper presents the proposed framework, along with experimental results in simulation and on a real wheelchair. |
Author | Philips, Johan Vanacker, Gerolf Nuttin, Marnix Vanhooydonck, Dirk Hüntemann, Alexander Van Brussel, Hendrik Demeester, Eric |
Author_xml | – sequence: 1 givenname: Dirk surname: Vanhooydonck fullname: Vanhooydonck, Dirk – sequence: 2 givenname: Eric surname: Demeester fullname: Demeester, Eric – sequence: 3 givenname: Alexander surname: Hüntemann fullname: Hüntemann, Alexander – sequence: 4 givenname: Johan surname: Philips fullname: Philips, Johan – sequence: 5 givenname: Gerolf surname: Vanacker fullname: Vanacker, Gerolf – sequence: 6 givenname: Hendrik surname: Van Brussel fullname: Van Brussel, Hendrik email: hendrik.vanbrussel@mech.kuleuven.be – sequence: 7 givenname: Marnix surname: Nuttin fullname: Nuttin, Marnix |
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References_xml | – volume: 37 start-page: 353 year: 2000 end-page: 360 ident: br000005 article-title: Adequacy of power wheelchair control interfaces for persons with severe disabilities: a clinical survey publication-title: Journal of Rehabilitation Research & Development contributor: fullname: Skaar – volume: 7 start-page: 443 year: 1999 end-page: 451 ident: br000045 article-title: The NavChair assistive wheelchair navigation system publication-title: IEEE Transactions on Rehabilitation Engineering contributor: fullname: Borenstein – volume: 4 start-page: 60 year: 1997 end-page: 70 ident: br000015 article-title: The autonomous mobile robot SENARIO: a sensor-aided intelligent navigation system for powered wheelchairs publication-title: IEEE Robotics & Automation Magazine contributor: fullname: Koutsouris – volume: 8 start-page: 38 year: 2001 end-page: 45 ident: br000025 article-title: A robotic wheelchair for crowded public environments publication-title: Reinventing the Wheelchair 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wheelchair for crowded public environments publication-title: IEEE Robotics & Automation Magazine doi: 10.1109/100.924358 contributor: fullname: Prassler – ident: 10.1016/j.robot.2010.04.002_br000020 – volume: 8 start-page: 20 issue: 1 year: 2001 ident: 10.1016/j.robot.2010.04.002_br000035 article-title: An autonomous vehicle for people with motor disabilities publication-title: IEEE Robotics & Automation Magazine doi: 10.1109/100.924353 contributor: fullname: Bourhis – ident: 10.1016/j.robot.2010.04.002_br000030 – volume: 4 start-page: 60 issue: 4 year: 1997 ident: 10.1016/j.robot.2010.04.002_br000015 article-title: The autonomous mobile robot SENARIO: a sensor-aided intelligent navigation system for powered wheelchairs publication-title: IEEE Robotics & Automation Magazine doi: 10.1109/100.637806 contributor: fullname: Katevas – volume: 5 start-page: 989 issue: 6 year: 1994 ident: 10.1016/j.robot.2010.04.002_br000085 article-title: Training feedforward networks with the marquardt 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Snippet | Elderly and disabled people can experience considerable difficulties when driving a powered wheelchair, especially if they do not possess the fine steering... |
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SubjectTerms | Adaptability Computer simulation Docking Estimates Implicit user model Intelligent wheelchairs Personalized Shared control Steering Tables Tasks User intention estimation Wheelchairs |
Title | Adaptable navigational assistance for intelligent wheelchairs by means of an implicit personalized user model |
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