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Extended Virtual Presence of Therapists through Home Service Robots

Published: 02 March 2015 Publication History
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  • Abstract

    The use of robots in rehabilitation is an increasingly viable option, given the shortage of well-trained therapists who can address individual patients' needs and priorities. Despite the acknowledged importance of customized therapy for individual patients, the means to realize it has received less research attention. Many approaches rely on rehabilitation robots, such as InMotion [3], where therapy customization is achieved by physically assisting patients when they cannot complete expected exercise movements. Consequently, it is important to accurately detect the patients' unsuccessful efforts to make exercise movements using various signals. An example that utilitzes electromyography signal can be found in Dipietro et al. [1]. These approaches lack of adaptive therapy programs where generic exercise targets do not necessarily address the specific needs/deficit of individual patients nor impose appropriate challenges.

    References

    [1]
    L. Dipietro, M. Ferraro, J. J. Palazzolo, H. I. Krebs, B. T. Volpe, and N. Hogan. Customized interactive robotic treatment for stroke: EMG-triggered therapy. TNSRE, 13(3):325--334, 2005.
    [2]
    T. L. Griffiths, M. Steyvers, D. M. Blei, and J. B. Tenenbaum. Integrating topics and syntax. In NIPS, 2004.
    [3]
    N. Hogan, H. I. Krebs, J. Charnnarong, P. Srikrishna, and A. Sharon. MIT-MANUS: a workstation for manual therapy and training I. In RO-MAN, 1992.
    [4]
    H. Jung, J. Baird, Y. Choe, and R. Grupen. Upper extremity physical therapy for stroke patients using a general purpose robot. In RO-MAN, 2011.
    [5]
    H. Jung, J. Baird, Y. Choe, and R. A. Grupen. Upper-limb exercises for stroke patients through the direct engagement of an embodied agent. In HRI, 2011.
    [6]
    H. Jung, R. Freedman, T. Foster, R. Grupen, and S. Zilberstein. Learning therapy strategies from demonstration using latent dirichlet allocation. In IUI, 2015.
    [7]
    H. Jung, T. Takahashi, Y. Choe, J. Baird, T. Foster, and R. Grupen. Towards extended virtual presence of the therapist in stroke rehabilitation. In ICORR, 2013.
    [8]
    J. C. Perry, S. Balasubramanian, C. R. de Pablo, and T. Keller. Improving the match between ability and challenge: toward a framework for automatic level adaptation in game-based assessment and training. In ICORR, 2013.
    [9]
    N. Shirzad and M. V. der Loos. Adaptation of task difficulty in rehabilitation exercises based on the user's motor performance and physiological responses. In ICORR, 2013.

    Cited By

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    • (2016)Cleaning up smart cities — Localization of semi-autonomous floor scrubber2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech)10.1109/SpliTech.2016.7555931(1-6)Online publication date: Jul-2016

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    1. Extended Virtual Presence of Therapists through Home Service Robots

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        cover image ACM Conferences
        HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts
        March 2015
        336 pages
        ISBN:9781450333184
        DOI:10.1145/2701973
        Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        New York, NY, United States

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        Published: 02 March 2015

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        Author Tags

        1. customized therapy
        2. latent dirichlet allocation
        3. learning from demonstration
        4. programming by demonstration
        5. robot-mediated therapy

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        HRI'15 Extended Abstracts Paper Acceptance Rate 92 of 102 submissions, 90%;
        Overall Acceptance Rate 192 of 519 submissions, 37%

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        • (2016)Cleaning up smart cities — Localization of semi-autonomous floor scrubber2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech)10.1109/SpliTech.2016.7555931(1-6)Online publication date: Jul-2016

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