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 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 (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.
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:
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.
The workshop is organized in cooperation with the H2020 EU projects: PROTEIN, i-PROGNOSIS, and EasyTV.
ACM will be the publisher of the proceedings of PETRA conference and workshops. The proceedings will be a volume in the ACM International Conference Proceedings Series in the ACM Digital Library. Authors must follow the guidelines of ACM SigConf template available at ACM SIG Proceedings template. A PDF sample is available here. Workshop paper must be between 3 to 10 pages long, including references. An important aspect of preparing your paper for publication is to provide the proper indexing and retrieval information from the ACM Computing Classification System (CCS). Camera-ready information will be emailed to authors with the acceptance notifications. The submission system is available at https://easychair.org/conferences/?conf=petra2019
The list of workshops and deadines are available at the main workshops page. All workshops have the same deadlines.