Title
VRACK — virtual reality augmented cycling kit: Design and validation
Abstract
In this paper the virtual reality augmented cycling kit (VRACK) a mechatronic rehabilitation system with an interactive virtual environment is presented. It was designed as a modular system that can convert most bicycles in virtual reality (VR) cycles. Novel hardware components embedded with sensors were implemented on a stationary exercise bicycle to monitor physiological and biomechanical parameters of participants while immersing them in a virtual reality simulation providing the user with visual, auditory and haptic feedback. This modular and adaptable system attaches to commercially-available stationary bicycle systems and interfaces with a personal computer for simulation and data acquisition processes. The bicycle system includes novel handle bars based on hydraulic pressure sensors and innovative pedals that monitor lower extremity kinetics and kinematics. Parameters monitored by these systems are communicated to a practitioner's interface screen and can be amplified before entering its virtual environment. The first prototype of the system was successful in demonstrating that a modular mechatronic kit can monitor and record kinetic, kinematic and physiologic parameters of riders.
Year
DOI
Venue
2010
10.1109/VR.2010.5444798
VR
Keywords
Field
DocType
biomechanics,interactive virtual environment,haptics,augmented cycling kit,virtual reality,virtual reality augmented cycling kit,stationary exercise bicycle,virtual environment,virtual reality cycles,bicycle system,immersive gaming,haptic feedback,personal computer,virtual reality simulation,modular system,data acquisition,lower extremity kinetics,patient rehabilitation,mechatronic rehabilitation system,non-visual interfaces,stationary bicycle system,exergaming,3d interaction for vr,biomechanical parameters,handle bars,hardware components,hydraulic pressure sensors,modular mechatronic kit,physiological parameters,adaptable system,vrack,rehabilitation,mechatronics,force,sensors,adaptive system,pressure sensor,kinematics,kinetic theory,computational modeling,kinetics
Kinematics,Virtual reality,Virtual machine,Simulation,Computer science,Data acquisition,Personal computer,Modular design,Mechatronics,Haptic technology
Conference
ISSN
ISBN
Citations 
1087-8270 E-ISBN : 978-1-4244-6236-0
978-1-4244-6236-0
9
PageRank 
References 
Authors
0.93
3
6
Name
Order
Citations
PageRank
Richard Ranky190.93
Mark Sivak2152.86
Jeffrey Lewis3317.20
Venkata Gade4101.31
Judith E. Deutsch511222.92
Constantinos Mavroidis612423.54