Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform
Ambient intelligence has advanced significantly during the last few years. The incorporation of image processing and artificial intelligence techniques have opened the possibility for such aspects as pattern recognition, thus allowing for a better adaptation of these systems. This study presents a n...
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doaj-fc24aaea6af4412595d1779b26d335892020-11-24T20:48:26ZengMDPI AGSensors1424-82202014-07-01148139551397910.3390/s140813955s140813955Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA PlatformGabriel Villarrubia0Juan F. De Paz1Javier Bajo2Juan M. Corchado3Departamento de Informática y Automática, Universidad de Salamanca, Plaza de la Merced s/n, 37008 Salamanca, SpainDepartamento de Informática y Automática, Universidad de Salamanca, Plaza de la Merced s/n, 37008 Salamanca, SpainDepartamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Campus de Montegancedo s/n, Boadilla del Monte, 28600 Madrid, SpainDepartamento de Informática y Automática, Universidad de Salamanca, Plaza de la Merced s/n, 37008 Salamanca, SpainAmbient intelligence has advanced significantly during the last few years. The incorporation of image processing and artificial intelligence techniques have opened the possibility for such aspects as pattern recognition, thus allowing for a better adaptation of these systems. This study presents a new model of an embedded agent especially designed to be implemented in sensing devices with resource constraints. This new model of an agent is integrated within the PANGEA (Platform for the Automatic Construction of Organiztions of Intelligent Agents) platform, an organizational-based platform, defining a new sensor role in the system and aimed at providing contextual information and interacting with the environment. A case study was developed over the PANGEA platform and designed using different agents and sensors responsible for providing user support at home in the event of incidents or emergencies. The system presented in the case study incorporates agents in Arduino hardware devices with recognition modules and illuminated bands; it also incorporates IP cameras programmed for automatic tracking, which can connect remotely in the event of emergencies. The user wears a bracelet, which contains a simple vibration sensor that can receive notifications about the emergency situation.http://www.mdpi.com/1424-8220/14/8/13955ambient intelligencesmart livingremote monitoringopen MAS |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gabriel Villarrubia Juan F. De Paz Javier Bajo Juan M. Corchado |
spellingShingle |
Gabriel Villarrubia Juan F. De Paz Javier Bajo Juan M. Corchado Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform Sensors ambient intelligence smart living remote monitoring open MAS |
author_facet |
Gabriel Villarrubia Juan F. De Paz Javier Bajo Juan M. Corchado |
author_sort |
Gabriel Villarrubia |
title |
Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform |
title_short |
Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform |
title_full |
Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform |
title_fullStr |
Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform |
title_full_unstemmed |
Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform |
title_sort |
ambient agents: embedded agents for remote control and monitoring using the pangea platform |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2014-07-01 |
description |
Ambient intelligence has advanced significantly during the last few years. The incorporation of image processing and artificial intelligence techniques have opened the possibility for such aspects as pattern recognition, thus allowing for a better adaptation of these systems. This study presents a new model of an embedded agent especially designed to be implemented in sensing devices with resource constraints. This new model of an agent is integrated within the PANGEA (Platform for the Automatic Construction of Organiztions of Intelligent Agents) platform, an organizational-based platform, defining a new sensor role in the system and aimed at providing contextual information and interacting with the environment. A case study was developed over the PANGEA platform and designed using different agents and sensors responsible for providing user support at home in the event of incidents or emergencies. The system presented in the case study incorporates agents in Arduino hardware devices with recognition modules and illuminated bands; it also incorporates IP cameras programmed for automatic tracking, which can connect remotely in the event of emergencies. The user wears a bracelet, which contains a simple vibration sensor that can receive notifications about the emergency situation. |
topic |
ambient intelligence smart living remote monitoring open MAS |
url |
http://www.mdpi.com/1424-8220/14/8/13955 |
work_keys_str_mv |
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