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References11
Newest
Published on Oct 1, 2019in Information Fusion10.72
Alberto Diez-Olivan3
Estimated H-index: 3
,
Javier Del Ser13
Estimated H-index: 13
(UPV/EHU: University of the Basque Country)
+ 1 AuthorsBasilio Sierra18
Estimated H-index: 18
(UPV/EHU: University of the Basque Country)
Abstract The so-called “smartization” of manufacturing industries has been conceived as the fourth industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and progressive maturity of new Information and Communication Technologies (ICT) applied to industrial processes and products. From a data science perspective, this paradigm shift allows extracting relevant knowledge from monitored assets through the adoption of intelligent monitoring and data fusion strategies, as wel...
Published on Aug 26, 2018in Journal of Sensors2.02
Luis Roda-Sanchez1
Estimated H-index: 1
,
Celia Garrido-Hidalgo1
Estimated H-index: 1
+ 2 AuthorsM. Carmen Ruiz5
Estimated H-index: 5
(UCLM: University of Castilla–La Mancha)
Industry 4.0 is leading the Fourth Industrial Revolution transforming traditional factories into smart factories governed by the Internet of Things (IoT). In order to assist smart factory employees, this paper introduces OperaBLE, a Bluetooth Low Energy (BLE) wearable proposal which is aimed at enhancing working conditions and efficiency in Industry 4.0 scenarios. We have developed two innovative algorithms for OperaBLE focused on power awareness as the key-enabling attribute towards success: Lo...
Published on Jan 1, 2018in IEEE Access4.10
Celia Garrido-Hidalgo1
Estimated H-index: 1
,
Diego Hortelano1
Estimated H-index: 1
+ 3 AuthorsVicente López3
Estimated H-index: 3
This paper encourages the cooperation of different Internet of Things technologies in industrial environments for avoiding social disruption in novel Industry 4.0 paradigms. For this, green I3A smart factory (GreenISF) scenario is presented, where the deployment of a collaborative mesh network based on Bluetooth low energy (BLE) and long range wide-area network (LoRaWAN) technologies promotes human–machine collaboration towards socially sustainable factories. In order to encourage human-centric ...
Published on Dec 1, 2017in Neurocomputing4.07
Dajun Zhou2
Estimated H-index: 2
(Ha Tai: Xiamen University),
Minghui Shi4
Estimated H-index: 4
(Ha Tai: Xiamen University)
+ 4 AuthorsChangle Zhou12
Estimated H-index: 12
(Ha Tai: Xiamen University)
Abstract Mobile robots with manipulators have been more and more commonly applied in extreme and hostile environments to assist or even replace human operators for complex tasks. In addition to autonomous abilities, mobile robots need to facilitate the human–robot interaction control mode that enables human users to easily control or collaborate with robots. This paper proposes a system which uses human gestures to control an autonomous mobile robot integrating a manipulator and a video surveill...
Published on Feb 14, 2017in Sensors3.03
Diego Hortelano1
Estimated H-index: 1
,
Teresa Olivares8
Estimated H-index: 8
+ 2 AuthorsVicente López3
Estimated H-index: 3
Current sensor networks need to be improved and updated to satisfy new essential requirements of the Internet of Things, where cutting-edge applications will appear. These requirements are: total coverage, zero fails (high performance), scalability and sustainability (hardware and software). We are going to evaluate Bluetooth Low Energy as wireless transmission technology and as the ideal candidate for these improvements, due to its low power consumption, its low cost radio chips and its ability...
Published on Jan 1, 2017in Procedia Manufacturing
Nuno Mendes7
Estimated H-index: 7
(UC: University of Coimbra),
João Ferrer1
Estimated H-index: 1
(UC: University of Coimbra)
+ 2 AuthorsPedro Neto14
Estimated H-index: 14
(UC: University of Coimbra)
Abstract This paper presents an intuitive human-robot interaction (HRI) framework for gesture and human behavior recognition. It relies on a vision-based system as interaction technology to classify gestures and a 3-axis accelerometer for behavior classification (stand, walking, etc.). An intelligent system integrates static gesture recognition recurring to artificial neural networks (ANNs) and dynamic gesture recognition using hidden Markov models (HMM). Results show a recognition rate of 95% f...
Published on Jan 1, 2017in Procedia Manufacturing
Margherita Peruzzini9
Estimated H-index: 9
(University of Modena and Reggio Emilia),
Fabio Grandi2
Estimated H-index: 2
(University of Modena and Reggio Emilia),
Marcello Pellicciari13
Estimated H-index: 13
(University of Modena and Reggio Emilia)
Abstract Industry 4.0 paradigm is based on systems communication and cooperation with each other and with humans in real time to improve process performances in terms of productivity, security, energy efficiency, and cost. Although industrial processes are more and more automated, human performance is still the main responsible for product quality and factory productivity. In this context, understanding how workers interact with production systems and how they experience the factory environment ...
Published on Jan 1, 2015in Journal of Intelligent and Fuzzy Systems1.64
José M. Gascueòa2
Estimated H-index: 2
,
Elena Navarro14
Estimated H-index: 14
(UCLM: University of Castilla–La Mancha)
+ 2 AuthorsJuan Pavón23
Estimated H-index: 23
(Complutense University of Madrid)
An important issue in Ambient Intelligence (AmI) is the massive deployment of intelligent agents embedded in the environment which are adaptive to the users' profiles, preferences and needs. This is why, the use of agent-oriented methodologies and frameworks is almost mandatory to easily develop software for AmI scenarios. ICARO is a software framework that promotes the use of different organizational and behavioral patterns to implement multi-agent systems (MAS). Its extensive use in several pr...
Published on Feb 1, 2011in Expert Systems1.50
Angel Rivas Casado1
Estimated H-index: 1
,
Rafael Martínez-Tomás6
Estimated H-index: 6
,
Antonio Fernández-Caballero27
Estimated H-index: 27
(UCLM: University of Castilla–La Mancha)
Abstract: This work presents a multi-agent system for knowledge-based high-level event composition, whichinterprets activities, behaviour and situations semantically in a scenario with multi-sensory monitoring.A perception agent (plurisensory agent and visual agent)-based structure is presented. The agents process thesensorinformationandidentify(agentdecisionsystem)significantchangesinthemonitoredsignals,whichtheysend as simple events to the composition agent that searches for and identifies pre-d...
Published on Sep 1, 2009 in RO-MAN (Robot and Human Interactive Communication)
Pedro Neto14
Estimated H-index: 14
(UC: University of Coimbra),
J. Norberto Pires15
Estimated H-index: 15
(UC: University of Coimbra),
A. Paulo Moreira10
Estimated H-index: 10
(University of Porto)
Most of industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. In this paper is proposed an accelerometer-based system to control an industrial robot using two low-cost and small 3-axis wireless accelerometers. These accelerometers are attached to the human arms, capturing its behavior (gestures and postures). An Artificial Neural Network (ANN) trained with a back-propagation algorithm was used to recognize arm gestures and postures...
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