A multi-modal approach for activity classification and fall detection
2013; Taylor & Francis; Volume: 45; Issue: 4 Linguagem: Inglês
10.1080/00207721.2013.784372
ISSN1464-5319
AutoresJosé Carlos Castillo, Davide Carneiro, Juan Serrano-Cuerda, Paulo Nováis, Antonio Fernández‐Caballero, José Neves,
Tópico(s)Human Pose and Action Recognition
ResumoAbstractThe society is changing towards a new paradigm in which an increasing number of old adults live alone. In parallel, the incidence of conditions that affect mobility and independence is also rising as a consequence of a longer life expectancy. In this paper, the specific problem of falls of old adults is addressed by devising a technological solution for monitoring these users. Video cameras, accelerometers and GPS sensors are combined in a multi-modal approach to monitor humans inside and outside the domestic environment. Machine learning techniques are used to detect falls and classify activities from accelerometer data. Video feeds and GPS are used to provide location inside and outside the domestic environment. It results in a monitoring solution that does not imply the confinement of the users to a closed environment.Keywords: activity classificationfall detectionbehavioural analysis AcknowledgementsThis work is funded by National Funds through the FCT-Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project PEst-OE/EEI/UI0752/2011 and PTDC/EEI-SII/1386/2012. The work of Davide Carneiro is also supported by a doctoral grant by FCT (SFRH/BD/64890/2009). This work is also partially supported by the Spanish Ministerio de Economía y Competitividad / FEDER under project TIN2010-20845-C03-01.NotesThe website of the WISQARSTM is available at http://www.cdc.gov/injury/wisqars/ (accessed August 2012).Additional informationNotes on contributorsJosé Carlos CastilloJosé Carlos Castillo holds an MSc degree in Advanced Computer Technologies (2008) and a PhD degree in Computer Science (2012) from the University of Castilla-La Mancha, Spain. He worked at the natural and artificial Interaction Systems (n&aIS) group at the Albacete Research Institute of Informatics, Spain focusing on computer vision techniques for the detection of human activities and frameworks for intelligent monitoring and activity interpretation. From October 2012, he is working as a post-doctoral researcher at the institute for Systems and Robotics (ISR), Instituto Superior Técnico (IST) of the Tecnical University of Lisbon (UTL), where he is focusing on networked robot systems, robotics and computer vision and intelligent control systems. Display full size Davide CarneiroDavide Carneiro is a fellow researcher at the Computer Science and Technology Center (CCTC ), at the Department of Informatics, University of Minho, Braga, Portugal. He has recently finished his PhD, in which he worked under a joint Doctoral Programme in Computer Science that aggregates three top Portuguese Universities. He has developed scientific research in the field of Artificial Intelligence, namely in Multi-agent Systems, Genetic Programming and Case-based Reasoning applied to the Legal field and Ambient Intelligence. He has participated in several research projects in the fields of Ambient Intelligence and Online Dispute Resolution. He is the co-author of several publications in this field, including book chapters, international journals and conference proceedings. In 2008 he has been awarded the TLeIA08 – a National Award for Artificial Intelligence projects attributed by the Portuguese Artificial Intelligence Association, and in 2009 he has been awarded an Academic Merit Scholarship by the Portuguese Government. His work has been supported by a research grant and by a PhD Scholarship, attributed by the Portuguese Science and Technology Foundation. Display full size Juan Serrano-CuerdaJuan Serrano-Cuerda received his Master in Computer Science from the University of Castilla-La Mancha, Spain in 2007. He holds an MSc degree in Advanced Computer Technologies (2008). His main research interests are computer vision and image processing. He has recently finished his PhD theses on robust human detection based on colour and infrared video fusion in the n&aIS (natural and artificial Interaction Systems) research group at the Albacete Research Institute of Informatics. Display full size Paulo NovaisPaulo Novais is an Associate Professor of Computer Sciences at the Department of Informatics, in the University of Minho, Braga, Portugal and researcher at the Computer Science and Technology Center (CCTC) in which he is the coordinator of the Intelligent Systems Lab. From the same university, he received a PhD in Computer Sciences in 2003 and his Habilitation in Computer Sciences (Agregação ramo de conhecimento em Informática) in 2011. He is the director of the Master in Informatics Engineering, Master in Informatics and vice director and co-founder of the Master in Law and Informatics at the University of Minho. He develops scientific research in the field of Artificial Intelligence, namely Knowledge Representation and Reasoning, Machine Learning and Multi-Agent Systems, with applications to the areas of Law and Ambient Intelligence. He has leaded and participated in several research projects sponsored by Portuguese and European public and private Institutions and has supervised several PhD and MSc students. He is the co-author of over 100 book chapters, journal papers, conference and workshop papers and books. He is Vice President of APPIA, the Portuguese Association for Artificial Intelligence. Display full size Antonio Fernández-CaballeroAntonio Fernández-Caballero received his Master in Computer Science from the Technical University of Madrid, Spain, in 1993; and his PhD from the Department of Artificial Intelligence of the National University for Distance Education, Spain, in 2001. He is Full Professor with the Department of Computer Science at the University of Castilla-La Mancha, Spain. He is the Director of the n&aIS (natural and artificial Interaction Systems) research group at the Albacete Research Institute of Informatics. His research interests are in image processing, cognitive vision, neural networks, and intelligent agents. Antonio Fernández-Caballero is Associate Editor of the Pattern Recognition Letters journal. He has authored more than 200 peer reviewed papers. Display full size José NevesJosé Neves is a Full Professor in Computer Science at the University of Minho, in Braga, Portugal, since 1983. Jose Neves is the Deputy Director of the Artificial Intelligence (AI) Group at the same university. He received his PhD in Computer Science from Heriot Watt University, Edinburgh, Scotland, in 1983. His current research interests are in the areas of knowledge representation and reasoning and evolutionary intelligence, aiming to construct dynamic virtual worlds of complex symbolic entities that compete against one another, in order to solve complex problems. Under this setting, fitness is judged by one criterion alone: Intelligence. Display full size
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