@inproceedings{07e652ab377649a2b17fd15f929f86e0,
title = "Intelligent chair sensor - classification and correction of sitting posture",
abstract = "In order to build an intelligent chair capable of posture detection and correction we developed a prototype that measures a pressure map of the chair's seat pad and backrest and classifies the user posture. The posture classification was done using neural networks that were trained for 5 standardized postures achieving an overall classification of around 98%. Those neural networks were exported to a mobile application in order to do real-time classification of those postures. Using the same mobile application we devised two correction algorithms that were implemented in order to create an intelligent chair capable of posture detection and correction. The posture correction is forced through the change of the conformation of the chair's seat and backrest by changing the pressure of eight pneumatic bladders.",
keywords = "Posture classification, Posture correction, Pressure-distribution sensors, Sensing chair, Sitting posture",
author = "Leonardo Martins and Rui Lucena and Jo{\~a}o Belo and Almeida, {Rui Valente de} and Quaresma, {Cl{\'a}udia Regina Pereira} and Jesus, {Adelaide P.} and Pedro Vieira",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-00846-2_368",
language = "English",
isbn = "9783319008455",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
pages = "1489--1492",
booktitle = "13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013",
address = "Germany",
note = "13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013 ; Conference date: 25-09-2013 Through 28-09-2013",
}