AGENT - MultimodAl SiGnal Sensing/Analysis, Innovative Interactive Environments and PersoNalized Behavioral Modeling for Improving QualiTy-of-Life

Abstract

New advances in sensing technologies, including wearables, cameras, optoacoustic sensors etc., and machine/deep learning techniques open up new opportunities for researchers to capture and collect data in order to: i) offer early detection, monitoring and prevention of many disorders; ii) identify harmful habits and behaviors; iii) ensure a barrier-free life for people with disabilities and; iv) 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, 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

Topics of interest include, but are not limited to

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.

• Signal processing
• Multimodal signal analysis
• Mobile and wireless technologies
• AI/ML-based solution in immune system support
• Human motion analysis
• Human-computer interaction
• Game-based applications
• Intelligent assistive technologies
• Feature extraction and fusion
• Machine/Deep learning techniques

Workshop Organizers