Development of an Inexpensive Sensor Network for Recognition of Sitting Posture

The aim of this work is the development of a network of wireless devices to determine, along with a time-stamp, postural changes of users that are to be used in personalized learning environments. For this purpose, we have designed a basic low-cost pressure sensor that can be built from components e...

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Main Authors: Ricardo Barba, Ángel P. de Madrid, Jesús G. Boticario
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2015-08-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/969237
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author Ricardo Barba
Ángel P. de Madrid
Jesús G. Boticario
author_facet Ricardo Barba
Ángel P. de Madrid
Jesús G. Boticario
author_sort Ricardo Barba
collection DOAJ
description The aim of this work is the development of a network of wireless devices to determine, along with a time-stamp, postural changes of users that are to be used in personalized learning environments. For this purpose, we have designed a basic low-cost pressure sensor that can be built from components easily available. Several of these basic sensors (of sizes and shapes chosen specifically for the task) are integrated into a posture sensor cushion, which is electronically controlled by an Arduino microcontroller board. This accounts for experiments involving either a single cushion to be used by an individual end-user setting approach or classroom approaches where several of these cushions make up a sensor network via ZigBee wireless connections. The system thus formed is an excellent alternative to other more expensive commercial systems and provides a low-cost, easy-to-use, portable, scalable, autonomous, flexible solution with free hardware and software, which can be integrated with other sensing devices into a larger affect detection system, customizable to cope with postural changes at required time intervals and support single and collective oriented experimentation approaches.
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spelling doaj.art-dd80d6b2db324e3eb9b2f55292df77812023-09-02T15:15:08ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-08-011110.1155/2015/969237969237Development of an Inexpensive Sensor Network for Recognition of Sitting PostureRicardo BarbaÁngel P. de MadridJesús G. BoticarioThe aim of this work is the development of a network of wireless devices to determine, along with a time-stamp, postural changes of users that are to be used in personalized learning environments. For this purpose, we have designed a basic low-cost pressure sensor that can be built from components easily available. Several of these basic sensors (of sizes and shapes chosen specifically for the task) are integrated into a posture sensor cushion, which is electronically controlled by an Arduino microcontroller board. This accounts for experiments involving either a single cushion to be used by an individual end-user setting approach or classroom approaches where several of these cushions make up a sensor network via ZigBee wireless connections. The system thus formed is an excellent alternative to other more expensive commercial systems and provides a low-cost, easy-to-use, portable, scalable, autonomous, flexible solution with free hardware and software, which can be integrated with other sensing devices into a larger affect detection system, customizable to cope with postural changes at required time intervals and support single and collective oriented experimentation approaches.https://doi.org/10.1155/2015/969237
spellingShingle Ricardo Barba
Ángel P. de Madrid
Jesús G. Boticario
Development of an Inexpensive Sensor Network for Recognition of Sitting Posture
International Journal of Distributed Sensor Networks
title Development of an Inexpensive Sensor Network for Recognition of Sitting Posture
title_full Development of an Inexpensive Sensor Network for Recognition of Sitting Posture
title_fullStr Development of an Inexpensive Sensor Network for Recognition of Sitting Posture
title_full_unstemmed Development of an Inexpensive Sensor Network for Recognition of Sitting Posture
title_short Development of an Inexpensive Sensor Network for Recognition of Sitting Posture
title_sort development of an inexpensive sensor network for recognition of sitting posture
url https://doi.org/10.1155/2015/969237
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