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Tue, 28 Jul 2020 15:13:25 +0000
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Final call for papers

Special Issue on Computer Vision and Machine Learning for Healthcare Applications

(Pattern Analysis and Applications journal)


The Computer Vision and Machine Learning for Healthcare Applications special issue aims to collect latest approaches and findings, as well as to discuss the current challenges of machine learning and computer vision based e-health and welfare applications. The focus is on the employment of single or multi-modal face, gesture and pose analysis. We expect this special issue to increase the visibility and importance of this area, and contribute, in the short term, in pushing the state of the art in the automatic analysis of human behaviors for health and wellbeing applications.

Topics of interest include, but are not limited to:

  *   Multi-modal integration
  *   Psychological profiling from (audio)-visual and/or multi-modal data
  *   Approaches based on psychology behavioral models
  *   Mobile-based and human-computer interaction applications
  *   User-understanding in human-computer interaction
  *   Human behavior analysis for health and well-being support
  *   Assistive technologies for supporting vulnerable people
  *   Virtual avatars and coaching
  *   Physical and psychological therapy systems
  *   Assistive care
  *   User acceptance of empathic assistive systems
  *   Real-time applications
  *   Datasets

Important dates - extended!

Paper submission deadline: 30th August, 2020.

Acceptance notification: 30th November, 2020.

Tentative publication date: January, 2021.

Guest Editors

Cristina Palmero (Universitat de Barcelona and Computer Vision Center, Spain)

Sergio Escalera (Universitat de Barcelona and Computer Vision Center, Spain)

Maria Inés Torres (University of the Basque Country (UPV/EHU) and SPIN RG, Spain)

Anna Esposito (Università della Campania “Luigi Vanvitelli", Italy)

Alexa Moseguí (Universitat de Barcelona and Computer Vision Center, Spain)

Advisory Editors

Bjorn W. Schuller (Imperial College London, UK, and University of Augsburg, Germany)

Jeffrey Cohn (University of Pittsburgh and Carnegie Mellon University, USA)

More information

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