This paper proposes a new estimation method for the lower limb muscle strength of the elderly that can be easily performed in nursing care facilities. Furthermore, based on the estimated lower limb muscle strength information, this paper proposes a human model that simulates the physical conditions of the elderly and, using this model, proposes a new design method for standing assistance strategy adapted to the physical conditions of the elderly. The main advantage of the proposed method is that it can estimate and model leg muscle strength, which depends on the individual elderly person, in a simple way that can done by staff in nursing care facilities who are not engineering specialists, without the use of specialized equipment such as electromyography.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Human Models Simulating the Physical Conditions of the Elderly Individual and Standing Assistance Method Based on These Models


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Cascalho, José M. (Herausgeber:in) / Tokhi, Mohammad Osman (Herausgeber:in) / Silva, Manuel F. (Herausgeber:in) / Mendes, Armando (Herausgeber:in) / Goher, Khaled (Herausgeber:in) / Funk, Matthias (Herausgeber:in) / Chugo, Daisuke (Autor:in) / Miyazaki, Yuya (Autor:in) / Muramatsu, Satoshi (Autor:in) / Yokota, Sho (Autor:in)

    Kongress:

    Climbing and Walking Robots Conference ; 2022 ; Ponta Delgada, Portugal September 12, 2022 - September 14, 2022



    Erscheinungsdatum :

    2022-08-25


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Models for Simulating Impact

    Simms, Ciaran / Wood, Denis | Springer Verlag | 2009


    Driver models for personalised driving assistance

    Lefèvre, Stéphanie / Carvalho, Ashwin / Gao, Yiqi et al. | Taylor & Francis Verlag | 2015


    Driver models for personalised driving assistance

    Lefevre,S. / Carvalho,A. / Gao,Y. et al. | Kraftfahrwesen | 2015