[visionlist] [CFP] ICPR2020 workshop on "Pattern recognition for positive technology and elderly wellbeing" (CARE2020)
nicoletta.noceti at unige.it
Wed May 6 10:50:00 -04 2020
[Apologies for multiple postings]
CARE2020, International Workshop on pattern recognition for positive technology and elderly wellbeing
Milan, Italy - January 10th, 2021
Workshop website: http://phuselab.di.unimi.it/CARE2020 <http://phuselab.di.unimi.it/CARE2020>
In conjunction with the 25th International Conference on Pattern Recognition (ICPR2020) https://www.micc.unifi.it/icpr2020/ <https://www.micc.unifi.it/icpr2020/>
Submission deadline October 10th, 2020
Author notification November 10th, 2020
Submission link: https://easychair.org/conferences/?conf=care2020 <https://easychair.org/conferences/?conf=care2020>
INVITED KEYNOTE SPEAKERS
Prof. Andrea Gaggioli (Università Cattolica di Milano, Italy) Positive AI: Opportunities and challenges of integrating artificial intelligence in digital wellbeing application
Prof. Hatice Gunes (University of Cambridge, UK) Creating Technology with Socio-emotional Intelligence
ABOUT CARE 2020
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.
Positive Technology (PT) is a new paradigm investigating how ICT-based applications and services can be used to foster positive growth of individuals, organizations, and society. It refers to technologies designed for improving the quality of personal experience with the goal of increasing wellness, and generating strengths and resilience in individuals, organizations, and society.
PT could be framed in the wider notion of Ambient Assistive Living (AAL) while focusing on the holistic wellness of people, taking into account the cognitive, emotional and social wellbeing. Thanks to the advances in sensor technologies, and scientific findings, this field is in rapid growing and its application for monitoring and promote elderly wellbeing has become a concrete possibility.
CARE2020 aims at bringing together the most recent advances of Intelligent Systems for PT and elderly wellbeing.
LIST OF TOPICS
This workshop aims at bringing together the most recent advances of Intelligent Systems, for Positive Technology and elderly wellbeing, investigating a wide range of topics covering (but not limited to) the following:
Social interaction analysis
Facial expression analysis
Body gesture analysis
Human behaviour analysis
Physiological signal analysis
Virtual reality as a positive technology
Intelligent cognitive assistants
Activities of Daily Living recognition
Emotion-aware ambient intelligence
Natural Human-Computer Interaction
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Full papers (12-15 pages, including references)
Short papers (6-8 pages, including references)
Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines>. Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume. Once accepted, at least one author is expected to attend the event and present the paper.
Workshop submission deadline: October 10th, 2020
Workshop author notification: November 10th, 2020
Camera-ready submission: November 15th, 2020
Finalized workshop program: December 1st, 2020
The ICPR2020 conference will be held at MiCo Milan Congress Center, Piazzale Carlo Magno 1, Milan, Italy.
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)
All questions about submissions should be emailed to care2020 at di.unimi.it <mailto:care2020 at di.unimi.it>
Nicoletta Noceti, PhD
Assistant Professor in Computer Science
MaLGa - Machine Learning Genoa center, University of Genova
Tel. +39 010 3536704
Fax +39 010 3536699
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