Literature DB >> 15536029

Synthesis of standing-up trajectories using dynamic optimization.

Jernej Kuzelicki1, Milos Zefran, Helena Burger, Tadej Bajd.   

Abstract

Dynamic optimization as a tool to compute standing-up trajectories was investigated. Sit-to-stand manoeuvres in five intact persons and five trans-femoral amputees were measured. Movements and ground reaction forces acting on the body were recorded. A five-segment 3D dynamic model of standing-up was developed. In each particular subject, the optimization criterion which yielded trajectories that best resemble the measured standing-up movement was determined. Since the intact persons used considerably different criteria in choosing the standing-up trajectories than the amputees, the optimal trajectories were computed by minimizing cost functionals (CF) with distinctive structures for each group of individuals. In intact persons, a unique cost functional was found which yielded realistic standing-up manoeuvres. In amputees, subject-specific sets of parameters indicating slightly different preferences in optimizing the effort of particular muscle groups were used.

Entities:  

Mesh:

Year:  2005        PMID: 15536029     DOI: 10.1016/j.gaitpost.2003.11.004

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  4 in total

1.  Analytical and numerical analysis of inverse optimization problems: conditions of uniqueness and computational methods.

Authors:  Alexander V Terekhov; Vladimir M Zatsiorsky
Journal:  Biol Cybern       Date:  2011-02-11       Impact factor: 2.086

2.  Toward Phase-Variable Control of Sit-to-Stand Motion with a Powered Knee-Ankle Prosthesis.

Authors:  Daphna Raz; Edgar Bolívar-Nieto; Necmiye Ozay; Robert D Gregg
Journal:  Control Technol Appl       Date:  2022-01-03

3.  A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance.

Authors:  Thomas Bennett; Praveen Kumar; Virginia Ruiz Garate
Journal:  Sensors (Basel)       Date:  2022-06-24       Impact factor: 3.847

4.  An analytical approach to the problem of inverse optimization with additive objective functions: an application to human prehension.

Authors:  Alexander V Terekhov; Yakov B Pesin; Xun Niu; Mark L Latash; Vladimir M Zatsiorsky
Journal:  J Math Biol       Date:  2009-11-10       Impact factor: 2.259

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.