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Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy

The use of data logging systems for capturing wheelchair and user behavior has increased rapidly over the past few years. Wheelchairs ensure more independent mobility and better quality of life for people with motor disabilities. Especially, for people with complex movement disorders, such as dyskin...

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Autores principales: Gakopoulos, Sotirios, Nica, Ioana Gabriela, Bekteshi, Saranda, Aerts, Jean-Marie, Monbaliu, Elegast, Hallez, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960520/
https://www.ncbi.nlm.nih.gov/pubmed/31817941
http://dx.doi.org/10.3390/s19245404
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author Gakopoulos, Sotirios
Nica, Ioana Gabriela
Bekteshi, Saranda
Aerts, Jean-Marie
Monbaliu, Elegast
Hallez, Hans
author_facet Gakopoulos, Sotirios
Nica, Ioana Gabriela
Bekteshi, Saranda
Aerts, Jean-Marie
Monbaliu, Elegast
Hallez, Hans
author_sort Gakopoulos, Sotirios
collection PubMed
description The use of data logging systems for capturing wheelchair and user behavior has increased rapidly over the past few years. Wheelchairs ensure more independent mobility and better quality of life for people with motor disabilities. Especially, for people with complex movement disorders, such as dyskinetic cerebral palsy (DCP) who lack the ability to walk or to handle objects, wheelchairs offer a means of integration into daily life. The mobility of DCP patients is based on a head-foot wheelchair steering system. In this work, a data logging system is proposed to capture data from human-wheelchair interaction for the head-foot steering system. Additionally, the data logger provides an interface to multiple Inertial Measurement Units (IMUs) placed on the body of the wheelchair user. The system provides accurate and real-time information from head-foot navigation system pressure sensors on the wheelchair during driving. This system was used as a tool to obtain further insights into wheelchair control and steering behavior of people diagnosed with DCP in comparison with a healthy subject.
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spelling pubmed-69605202020-01-23 Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy Gakopoulos, Sotirios Nica, Ioana Gabriela Bekteshi, Saranda Aerts, Jean-Marie Monbaliu, Elegast Hallez, Hans Sensors (Basel) Article The use of data logging systems for capturing wheelchair and user behavior has increased rapidly over the past few years. Wheelchairs ensure more independent mobility and better quality of life for people with motor disabilities. Especially, for people with complex movement disorders, such as dyskinetic cerebral palsy (DCP) who lack the ability to walk or to handle objects, wheelchairs offer a means of integration into daily life. The mobility of DCP patients is based on a head-foot wheelchair steering system. In this work, a data logging system is proposed to capture data from human-wheelchair interaction for the head-foot steering system. Additionally, the data logger provides an interface to multiple Inertial Measurement Units (IMUs) placed on the body of the wheelchair user. The system provides accurate and real-time information from head-foot navigation system pressure sensors on the wheelchair during driving. This system was used as a tool to obtain further insights into wheelchair control and steering behavior of people diagnosed with DCP in comparison with a healthy subject. MDPI 2019-12-07 /pmc/articles/PMC6960520/ /pubmed/31817941 http://dx.doi.org/10.3390/s19245404 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gakopoulos, Sotirios
Nica, Ioana Gabriela
Bekteshi, Saranda
Aerts, Jean-Marie
Monbaliu, Elegast
Hallez, Hans
Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy
title Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy
title_full Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy
title_fullStr Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy
title_full_unstemmed Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy
title_short Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy
title_sort development of a data logger for capturing human-machine interaction in wheelchair head-foot steering sensor system in dyskinetic cerebral palsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960520/
https://www.ncbi.nlm.nih.gov/pubmed/31817941
http://dx.doi.org/10.3390/s19245404
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