AGENT - MultimodAl siGnal sensing and AI-algorithms in assistive EnviroNments for improving qualiTy-of-life


Abstract

Extracting health and behavioral indicators is very crucial for the early detection, monitoring and prevention of physical and mental disorders and harmful habits and behaviors. New advances in sensing technologies, including wearables, depth sensors, cameras etc. and Artificial Intelligence techniques open up new opportunities for researchers to capture, collect data and analyze data in order to:

  • offer early detection, monitoring and prevention of many disorders
  • identify harmful habits and behaviors
  • ensure a barrier-free life for people with disabilities
  • provide early interventions for improving quality of life and encouraging behavior change towards adopting and maintaining a healthy lifestyle

The new ways of sensing and analyzing these signals can constitute the basis for the development of innovative interactive solutions for personalized support (e.g., game-based interventions), helping patients, disabled, and older adults to improve their quality-of-life and enhance their performance in a wide range of settings.


Goals

This workshop aims to attract an interdisciplinary group of researchers who are involved in research related to early detection, assessment and monitoring of human health, habits and behaviour. The workshop will focus on novel technologies that are applied on real or virtual environments and aims to enhance the quality of daily living, especially for people with disabilities or patients suffering from chronic conditions. The researchers will present their work and receive feedback from their peers. As part of the larger theme of the PETRA conference, the participants will also have the opportunity to interact with top scientists working with pervasive assistive technologies to exchange valuable ideas that could advance the state-of-the-art in the field.


Organizational Details

This workshop is dedicated to studies, applications, algorithms and new methodologies in the multidisciplinary field of unobtrusive assistive environments that can improve the quality of daily living. Papers for this workshop must address relevant topics in the design, implementation or study of interactive applications based on sensors, natural human-computer interaction, virtual environments, machine/deep learning and artificial intelligence techniques.


Topics of interest include, but are not limited to

  • Sensor Technologies for Disabled Users
  • HCI for the Elderly
  • Human Motion Analysis for Rehabilitation or Ergonomics
  • AI-Recommendation algorithms
  • Data Analysis for Game-Based Interventions
  • Signal processing
  • Multimodal signal analysis
  • Mobile and wireless technologies
  • Human-computer interaction for disabled people
  • Sign language recognition
  • Intelligent assistive technologies
  • Internet-of-things (IOT)
  • Feature extraction and fusion
  • Machine/Deep learning techniques
  • Conversational agents
  • Sensor fusion

Workshop Organizers

Dr. Kosmas Dimitropoulos
The Visual Computing Lab - VCL
Information Technologies Institute - Centre for Research and Technology Hellas (ITI-CERTH)
dimitrop@iti.gr

Dr. Petros Daras
The Visual Computing Lab - VCL
Information Technologies Institute - Centre for Research and Technology Hellas (ITI-CERTH)
daras@iti.gr

In Cooperation With:
H2020 PROTEIN and GSRT-QConpass projects