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Sensing, Perceiving, and Understanding Actions

Call for Papers

Artificial Intelligence was originally devised with a clear purpose in mind: to replicate human abilities into computational systems. To achieve this goal, systems need to be provided with the means to sense and act, perceive, and understand. Acting has been faced from the agency model field, sensing from a more technological field in seeking for devices capable of replicating human senses, and finally perceiving and understanding have been faced from the knowledge management and reasoning field. This special issue on sensing, perceiving, and understanding actions is intended to explore the recent advances in any of these three fields of knowledge, although from the specific perspective of solutions for sensing and perceiving actions. Contributions should pay special attention to how sensor networks platforms contribute to the field of Human Action Recognition. Therefore, the emphasis should be made on how the collected information should be managed and modeled in order to infer and understand the actions being performed. Contributions aimed at using these techniques to develop comprehensive solutions devoted to fields such as ubiquitous computing, ambient intelligence, or ambient assisted living are welcome. Potential topics include, but are not limited to:

  • Visual sensor networks
  • Wearable sensor networks and human centered sensor networks
  • Perceiving, cognitive, and sensor fusion systems
  • Pervasive sensing
  • Distributed approaches to modeling action understanding
  • Compressive sensing techniques for Human Action Recognition
  • Real–time monitoring systems: Modeling actions, action sequences, and plans. Modeling cooperative actions of more than one agent (humans, robots, animals), specially multiagent system solutions
  • Solutions for modeling, managing, and reasoning about spatiotemporal aspects of human actions: For example, explaining observed time relations in an observed sequence and predicting the timing of future actions
  • Sensor fusion and sensor data analysis with commonsense reasoning
  • Approaches for generating explanations of observed actions and sequences
  • Distributed Human Action Recognition
  • Learning applied to all of the above (statistical, symbolic, or some combination)

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/ijdsn/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ijdsn/spua/ according to the following timetable:

Manuscript DueFriday, 27 December 2013
First Round of ReviewsFriday, 21 March 2014
Publication DateFriday, 16 May 2014

Lead Guest Editor

  • Juan Carlos López, School of Computer Science, University of Castilla–La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain

Guest Editors

  • María José Santofimia, School of Computer Science, University of Castilla–La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain
  • Jesús Martínez del Rincón, The Institute of Electronics, Communications and Information Technology, Queens University of Belfast, University Road, Belfast BT3 9DT, Northern Ireland
  • Scott E. Fahlman, Language Technologies Institute and Computer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213–3891, USA