Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype
The design and implementation of an electronic system that involves head movements to operate a prototype that can simulate future movements of a wheelchair was developed here. The controller design collects head-movements data through a MEMS sensor-based motion capture system. The research was divi...
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doaj-b725e031403346529519036044ca71a52021-07-15T15:45:08ZengMDPI AGSensors1424-82202021-06-01214344434410.3390/s21134344Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair PrototypeMauro Callejas-Cuervo0Aura Ximena González-Cely1Teodiano Bastos-Filho2Software Research Group, Universidad Pedagógica y Tecnológica de Colombia, Av. Central del Norte 39-115, Tunja 150001, ColombiaSoftware Research Group, Universidad Pedagógica y Tecnológica de Colombia, Av. Central del Norte 39-115, Tunja 150001, ColombiaPosgraduate Program in Electrical Engineering, Federal University of Espírito Santo, Av. Fernando Ferrari, 514, Vitoria 29075-910, BrazilThe design and implementation of an electronic system that involves head movements to operate a prototype that can simulate future movements of a wheelchair was developed here. The controller design collects head-movements data through a MEMS sensor-based motion capture system. The research was divided into four stages: First, the instrumentation of the system using hardware and software; second, the mathematical modeling using the theory of dynamic systems; third, the automatic control of position, speed, and orientation with constant and variable speed; finally, system verification using both an electronic controller test protocol and user experience. The system involved a graphical interface for the user to interact with it by executing all the controllers in real time. Through the System Usability Scale (SUS), a score of 78 out of 100 points was obtained from the qualification of 10 users who validated the system, giving a connotation of “very good”. Users accepted the system with the recommendation to improve safety by using laser sensors instead of ultrasonic range modules to enhance obstacle detection.https://www.mdpi.com/1424-8220/21/13/4344inertial measurement unitfuzzy controlmotion capturepositionvelocityorientation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mauro Callejas-Cuervo Aura Ximena González-Cely Teodiano Bastos-Filho |
spellingShingle |
Mauro Callejas-Cuervo Aura Ximena González-Cely Teodiano Bastos-Filho Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype Sensors inertial measurement unit fuzzy control motion capture position velocity orientation |
author_facet |
Mauro Callejas-Cuervo Aura Ximena González-Cely Teodiano Bastos-Filho |
author_sort |
Mauro Callejas-Cuervo |
title |
Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype |
title_short |
Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype |
title_full |
Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype |
title_fullStr |
Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype |
title_full_unstemmed |
Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype |
title_sort |
design and implementation of a position, speed and orientation fuzzy controller using a motion capture system to operate a wheelchair prototype |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-06-01 |
description |
The design and implementation of an electronic system that involves head movements to operate a prototype that can simulate future movements of a wheelchair was developed here. The controller design collects head-movements data through a MEMS sensor-based motion capture system. The research was divided into four stages: First, the instrumentation of the system using hardware and software; second, the mathematical modeling using the theory of dynamic systems; third, the automatic control of position, speed, and orientation with constant and variable speed; finally, system verification using both an electronic controller test protocol and user experience. The system involved a graphical interface for the user to interact with it by executing all the controllers in real time. Through the System Usability Scale (SUS), a score of 78 out of 100 points was obtained from the qualification of 10 users who validated the system, giving a connotation of “very good”. Users accepted the system with the recommendation to improve safety by using laser sensors instead of ultrasonic range modules to enhance obstacle detection. |
topic |
inertial measurement unit fuzzy control motion capture position velocity orientation |
url |
https://www.mdpi.com/1424-8220/21/13/4344 |
work_keys_str_mv |
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