International Workshop on Pervasive Intelligence
Pervasive (ubiquitous) computing is a research area whose principle is to embed some kind of computational power (i.e., using microprocessors) into daily life objects, in an effort to make them capable to communicate and perform tasks without the need of intense interaction with users. The concept of pervasive computing has recently emerged; a large number of applications such as wearable devices, smart/assistive homes and environments, smart cities, self driving cars etc. are already part of everyday life. Pervasive computing devices are constantly available and networked, often interconnected with cloud services.
Among the plethora of domains of application, several user groups such are people with disabilities or elderly persons may benefit the most. Disabled people may use smart devices so that difficulties within their daily life due their disabilities are surpassed. Moreover elderly people may live into smart environments so that their activities of daily living may be monitored and they may be assisted to continue their lives independently, with minimal human intervention.
This workshop focuses on methods and applications for data analysis in smart environments, enabled by artificial intelligence, including (but not limited to) neural networks. It encourages the submission of papers addressing concepts and methods related to the processing and analysis of data from multiple sensor modalities, especially high throughput audio and video. Novel methods and algorithms in this context should cope with specific challenges and open research issues. Experiments on publicly available datasets are also encouraged to demonstrate the effectiveness of these methods. Application papers should stress the societal impact of the proposed approach.
The workshop is expected to attract >10 paper submissions organized into max. 2 sessions. All submissions will be reviewed by 3 members of the program committee.
Topics of Interest
Topics of interest include, but are not limited to:
● Human action/activity and object recognition
● Human emotion recognition from audio/visual data
● Audio/visual methods for affective modeling
● Natural language processing for behavioural analysis
● Intelligent optical measurement systems
● Deep learning for image, audio and multimodal data analysis
● Multimodal image fusion
● Wearable technologies for disabled
● Smart/assistive environments
● Sensor networks for smart environments
● Dialogue systems
● Virtual and augmented reality environments
● Measurements for pervasive systems
● Decision making based on multimodal cues
● Cloud computing for efficient data communications and processing
● Video coding, processing and analysis
Selected papers will be invited for possible publication in the special issue on “Optical Measurement Methods for Health and Related Applications” of the Measurement Science and Technology journal. Details about this issue are provided in the following link:
All accepted papers will be published in the Springer CCIS proceedings, indexed as peer-reviewed publication in the Web of Science.
ENSURE YOUR PAPER ADHERES TO THE LNCS GUIDELINES
Authors must follow the LNCS guidelines below for their paper to be published by Springer.
The guidelines can be found here: http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Instructions for paper format
- Stylianos Asteriadis, University of Maastricht, Netherlands
- Charis Dakolia, University of Thessaly, Greece
- Kostas Delibasis, University of Thessaly, Greece
- Enrique Hortal, University of Maastricht, Netherlands
- Theodore Giannakopoulos, Behavioural Signals, Greece
- Barna Iantovics, Mures University, Romania
- Maria Kozyri, University of Thessaly, Greece
- Artur Krukowski, Intracom S.A. Telecom Solutions, Greece
- Athanasios Loukopoulos, University of Thessaly, Greece
- Michalis Papakostas, University of Texas at Arlington, USA
- Stavros Perantonis, National Center for Scientific Research - “Demokritos”, Greece
- Sara Paiva, Applied Research Centre for Digital Transformation, Portugal
Dimitris K. Iakovidis, is Associate Professor at the Department of Computer Science and Biomedical Informatics of the University of Thessaly in Greece (http://isinnovation.eu/). His research interests include signal and image processing, decision support systems, intelligent systems and applications. In this context he has co-authored over 150 journal, conference papers, and book chapters. Dr. Iakovidis has participated in the development of several research proposals and research roadmaps. He is currently co-ordinating the 1M€ project ENORASI, which is co-financed by the European Union and Greek national funds. He is Associate Editor of IEEE Transactions on Fuzzy Systems (I.F. 8.4), and Editorial Board Member of the Measurement Science and
Technology journal (I.F. 1.7), and he has acted as a vice chair and evaluator of several EC research projects. He is a Senior Member of IEEE, and member of IAPR, EUCOG and VPH Institute.
Evaggelos Spyrou is currently Assistant Professor in the General Dept. of the University of Thessaly, Lamia, Greece, and also Research Associate at the Computational Intelligence Laboratory (CIL), Institute of Informatics and Telecommunications (IIT), of the National Center for Scientific Research - “Demokritos”, Athens, Greece. His current research interests lie in the areas of semantic multimedia analysis, indexing and retrieval, low-level feature extraction and modeling, visual context modeling, multimedia content representation, neural networks, intelligent systems, biomedical image analysis, social generated data analysis, human machine interfaces, human action recognition and the Internet of Things, having more than 100 publications in peer refereed journals, book chapters and international conferences and workshops.
This workshop is organized in the context of the project ENORASI (Intelligent Audiovisual System Enhancing Cultural Experience and Accessibility), co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code:T1EDK-02070).