Your browser doesn't support javascript.
loading
Validation of Marker-Less System for the Assessment of Upper Joints Reaction Forces in Exoskeleton Users.
Pasinetti, Simone; Nuzzi, Cristina; Covre, Nicola; Luchetti, Alessandro; Maule, Luca; Serpelloni, Mauro; Lancini, Matteo.
Afiliação
  • Pasinetti S; Department of Mechanical and Industrial Engineering (DIMI), University of Brescia, 25123 Brescia, Italy.
  • Nuzzi C; Department of Mechanical and Industrial Engineering (DIMI), University of Brescia, 25123 Brescia, Italy.
  • Covre N; Department of Industrial Engineering (DII), University of Trento, 38123 Trento, Italy.
  • Luchetti A; Department of Industrial Engineering (DII), University of Trento, 38123 Trento, Italy.
  • Maule L; Department of Industrial Engineering (DII), University of Trento, 38123 Trento, Italy.
  • Serpelloni M; Department of Information Engineering (DII), University of Brescia, 25123 Brescia, Italy.
  • Lancini M; Department of Mechanical and Industrial Engineering (DIMI), University of Brescia, 25123 Brescia, Italy.
Sensors (Basel) ; 20(14)2020 Jul 13.
Article em En | MEDLINE | ID: mdl-32668739
ABSTRACT
This paper presents the validation of a marker-less motion capture system used to evaluate the upper limb stress of subjects using exoskeletons for locomotion. The system fuses the human skeletonization provided by commercial 3D cameras with forces exchanged by the user to the ground through upper limbs utilizing instrumented crutches. The aim is to provide a low cost, accurate, and reliable technology useful to provide the trainer a quantitative evaluation of the impact of assisted gait on the subject without the need to use an instrumented gait lab. The reaction forces at the upper limbs' joints are measured to provide a validation focused on clinically relevant quantities for this application. The system was used simultaneously with a reference motion capture system inside a clinical gait analysis lab. An expert user performed 20 walking tests using instrumented crutches and force platforms inside the observed volume. The mechanical model was applied to data from the system and the reference motion capture, and numerical simulations were performed to assess the internal joint reaction of the subject's upper limbs. A comparison between the two results shows a root mean square error of less than 2% of the subject's body weight.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Muletas / Extremidade Superior / Exoesqueleto Energizado / Articulações Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Muletas / Extremidade Superior / Exoesqueleto Energizado / Articulações Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article