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Authors: Bruno Ribeiro 1 ; Leonardo Martins 2 ; Hugo Pereira 1 ; Rui Almeida 1 ; Claudia Quaresma 3 ; Adelaide Ferreira 1 and Pedro Vieira 4

Affiliations: 1 Department of Physics and Faculty of Sciences and Technology of the New University of Lisbon, Portugal ; 2 Department of Physics, Faculty of Sciences and Technology of the New University of Lisbon, UNINOVA and Institute for the Development of New Technologies, Portugal ; 3 Department of Physics, Faculty of Sciences and Technology of the New University of Lisbon, CEFITEC and Faculty of Sciences and Technology of the New University of Lisbon, Portugal ; 4 Department of Physics, Faculty of Sciences and Technology of the New University of Lisbon, Centre of Atomic Physics and Faculty of Sciences and Technology of the New University of Lisbon, Portugal

Keyword(s): Intelligent Chair, Pressure-distribution Sensors, Sitting Posture, Posture Classification, Fuzzy Logic, Neural Networks.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Decision Support Systems ; Design and Development Methodologies for Healthcare IT ; Health Information Systems ; Pattern Recognition and Machine Learning

Abstract: In a previous work, a chair prototype was used to detect 11 standardized seating postures of users, using just 8 air bladders (4 in the chair’s seat and 4 in the backrest) and one pressure sensor for each bladder. In this paper we describe a new classification algorithm, which was developed in order to classify the postures using as input the Centre of Pressure, the Posture Adoption Time and the Posture Output from the existing Neural Network Algorithm. This new Posture Classification Algorithm is based on Fuzzy Logic and is able to determine if the user is adopting a good or a bad posture for specific time periods. The newly developed Classification Algorithms will prompt the improvement of new Posture Correction Algorithms based on Fuzzy Actuators.

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Paper citation in several formats:
Ribeiro, B.; Martins, L.; Pereira, H.; Almeida, R.; Quaresma, C.; Ferreira, A. and Vieira, P. (2015). Sitting Posture Detection using Fuzzy Logic - Development of a Neuro-fuzzy Algorithm to Classify Postural Transitions in a Sitting Posture. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF; ISBN 978-989-758-068-0; ISSN 2184-4305, SciTePress, pages 191-199. DOI: 10.5220/0005287101910199

@conference{healthinf15,
author={Bruno Ribeiro. and Leonardo Martins. and Hugo Pereira. and Rui Almeida. and Claudia Quaresma. and Adelaide Ferreira. and Pedro Vieira.},
title={Sitting Posture Detection using Fuzzy Logic - Development of a Neuro-fuzzy Algorithm to Classify Postural Transitions in a Sitting Posture},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF},
year={2015},
pages={191-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005287101910199},
isbn={978-989-758-068-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF
TI - Sitting Posture Detection using Fuzzy Logic - Development of a Neuro-fuzzy Algorithm to Classify Postural Transitions in a Sitting Posture
SN - 978-989-758-068-0
IS - 2184-4305
AU - Ribeiro, B.
AU - Martins, L.
AU - Pereira, H.
AU - Almeida, R.
AU - Quaresma, C.
AU - Ferreira, A.
AU - Vieira, P.
PY - 2015
SP - 191
EP - 199
DO - 10.5220/0005287101910199
PB - SciTePress

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