ICPR2020 workshop on “Pattern recognition for positive technology and elderly wellbeing” (CARE2020)

CARE2020, International Workshop on pattern recognition for positive technology and elderly wellbeing

In conjunction with the 25th International Conference on Pattern Recognition (ICPR2020)

Milan, Italy – January 10th, 2021

http://phuselab.di.unimi.it/CARE2020

*** THE EVENT WILL BE FULLY VIRTUAL ***
THE SUBMISSION DEADLINE HAS BEEN EXTENDED!!! 
WE WELCOME SUBMISSIONS OF PAPERS NOT ACCEPTED TO ICPR2020 AND FITTING THE TOPICS OF CARE2020

NEW submission deadline    October 24th, 2020

Author notification        November 10th, 2020

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ABOUT CARE 2020 
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Life expectancy horizon is in continuous growth, with an arising socio-economical needs of supporting the aging population. If this is stimulating a considerable research effort in the ICT field, there is a big gap between the complexity of available ICT devices and the needs of fragile individuals.
CARE2020 aims at bringing together the most recent advances of Intelligent Systems  for Positive Technologies and elderly wellbeing.
The list of relevant topics includes (but is not limited to) the following: 
  • Emotion recognition
  • Social interaction analysis
  • Facial expression analysis
  • Body gesture analysis
  • Human behaviour analysis
  • Physiological signal analysis
  • Ecological datasets
  • Mood induction
  • Virtual reality as a positive technology
  • Intelligent cognitive assistants
  • Activities of Daily Living recognition
  • Emotion-aware ambient intelligence
  • Natural Human-Computer Interaction
INVITED KEYNOTE SPEAKERS 
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  • Prof. Hatice Gunes (University of Cambridge, UK) Creating Technology with Socio-emotional Intelligence
  • Prof. Andrea Gaggioli (Università Cattolica di Milano, Italy) Positive AI: Opportunities and challenges of integrating artificial intelligence in digital wellbeing application
ORGANIZING COMMITTEE 
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  • Raffaella Lanzarotti (Università degli Studi di Milano)
  • Nicoletta Noceti (Università degli Studi di Genova)
  • Claudio de'Sperati (Università Vita-Salute San Raffaele, Milano)
  • Francesca Odone (Università degli Studi di Genova)
  • Giuliano Grossi (Università degli Studi di Milano)
CONTACT
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All questions about submissions should be emailed to care2020@di.unimi.it
Nicoletta Noceti, PhD
Assistant Professor in Computer Science
MaLGa – Machine Learning Genoa center https://ml.unige.it 
DIBRIS – Università di Genova, Italy
Tel. +39 010 3536704
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