A simulator for both manual and powered wheelchairs in immersive virtual reality CAVE
Autor: | E. Biffi, G. Reni, C. Corbetta, Angelo Davalli, Sara Arlati, C. Genova, Alessio Prini, D. F. Redaelli, Matteo Malosio, Marco Sacco |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Computer science
Kinematics Virtual reality Computer Graphics and Computer-Aided Design Motion capture Human-Computer Interaction 03 medical and health sciences Manual wheelchair 0302 clinical medicine Gait (human) Wheelchair Immersive virtual reality Joystick Virtual training 030212 general & internal medicine Powered wheelchair 030217 neurology & neurosurgery Software Simulation Simulating system Haptic technology ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | Virtual reality (Walth. Cross) (2021). doi:10.1007/s10055-021-00547-w info:cnr-pdr/source/autori:Genova C.; Biffi E.; Arlati S.; Redaelli D.F.; Prini A.; Malosio M.; Corbetta C.; Davalli A.; Sacco M.; Reni G./titolo:A simulator for both manual and powered wheelchairs in immersive virtual reality CAVE/doi:10.1007%2Fs10055-021-00547-w/rivista:Virtual reality (Walth. Cross)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume |
DOI: | 10.1007/s10055-021-00547-w |
Popis: | A large number of people in the world need to use a wheelchair because of different disabilities. Driving a wheelchair requires complex physical and cognitive abilities which need to be trained. Virtual training helps users acquire driving skills in a safe environment. The aim of this paper is to describe and technically validate simulation models for both manual (MW) and powered wheelchairs (PW) based on immersive virtual reality CAVE (VR). As VR system, the Gait Real-time Analysis Interactive Lab (GRAIL) was used, a CAVE equipped with a motion platform with two degrees of freedom and an optoelectronic motion capture system. A real wheelchair was positioned onto the motion platform with rear wheels free to turn in MW modality, and a commercial joystick was installed on an armrest to simulate the PW modality. Passive markers were used to track the wheel rotation, the joystick and the user hand motion. Custom D-flow applications were developed to manage virtual scene response to user actions. Overground tests, based on single wheel rotation, were performed to verify the simulation model reliability. Quantitative results demonstrated that the MW simulator kinematics was consistent with a real wheelchair overground in the absence of wheel slip and inertia (median error for MW 0.40 °, no systematic bias p = 0.943, high correlation rho > 0.999, p |
Databáze: | OpenAIRE |
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