As the population’s age increases worldwide, older adults’ care is critical for their wellbeing. Consequently, the evaluation and quantification of daily living activities are essential for determining health status changes and, subsequently, detecting early signs of autonomy loss.
Recently, approaches for quantifying mobility and health emerged that rely on inexpensive sensor technologies. For example, the global positioning system (GPS), inertial measurement units (IMUs), and accelerometer sensors embedded in every smartphone facilitate monitoring different mobility and health aspects in older adults. Remarkably, smartphone use has been suggested by researchers and clinicians as a useful tool to monitor and improve patients’ health and fitness objectively.
Therefore, smartphone sensor technology has become sufficiently reliable and accurate to substitute specific biomechanics lab equipment and portable devices used in functional mobility research. This special session’s motivation is to bring together researchers and clinicians interested in proposing new technologies to monitor and quantify movement and health in older adults. Due to the rapid dissemination of new technologies to monitor and quantify health parameters in older adults, this emerging knowledge comprises many issues that should be discussed for the continuous need to update our knowledge on the emerging technology applied to human health.
Considering that more research must be done and disseminated on this topic, this special session encourages researchers to submit original manuscripts, systematic reviews, narrative reviews, or scientific discussions regarding e-Health and m-Health technologies for ambient assisted living and healthcare in older adults. From a practical perspective, authors should mention the importance of the proposed technologies to monitor and quantify mobility and health in older adults and how these can be effectively applied in clinical practice.
Authors are solicited to submit original, previously unpublished papers in the following, but not limited to, topic areas:
- Health care information systems interoperability, security and efficiency;
- Ambient intelligence for wellbeing and e-health applications, supported by RFID technology and Wireless Sensor Networks;
- Mobile applications and ubiquitous devices in Healthcare and lifestyle training;
- Robotic systems and devices for health care and medicine;
- Technologies to promote a healthy and secure society;
- Big Data Analytics for e-health;
- Assessment of Acceptance/Adoption models Cultural Evaluation of e-health;
- Acceptance e-health and economic growth Factors affecting e-health adoption;
- Machine learning for healthcare;
- Intelligent systems for young and elderly people using mobile devices;
- Activities of Daily Living;
- Human factors, efficient cost control and management in society;
- Intelligent decision support and data systems in health care, medicine and society;
- Innovation in people supporting activities (e.g. health care, schooling and services);
- Embedded systems for healthcare;
- IT Acceptance Models Acceptance of e-health services;
- Major barriers and facilitators for e-health;
- Biosignal Acquisition, Analysis and Processing;
- Semantic Technologies and Cognition;
- Neural Networks;
- Physiological Computing in Mobile Devices;
- Physiological Computing in Mobile Devices;
- Augmented Reality in Healthcare using Wearable devices;
- Sensors and Actuators;
- ICT for development;
- Cloud computing for healthcare;
- Mobile application concepts and technologies for different mobile platforms.
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, EI Engineering Index (Compendex and Inspec databases), DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Scopus, Zentralblatt MATH.
The registered papers must follow the guidelines below:
• Papers should be in English.
• Submitted papers can be short (6-11 p.) or regular (12-15+ p.).
• Previously published work may not be submitted, nor may the work be
concurrently submitted to any other conference or journal. Such papers will be rejected without review.
GOODTECHS proceedings are indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
Community Review is a service offered to Program Committees and submitting Authors of all EAI conferences designed to improve the speed and the quality of the review process.
Abstracts of all authors who opt-in to Community Review during submission will be published and available for Bidding here.
Learn more about the Community Review process
Papers should be submitted through EAI ‘Confy+’ system, and have to comply with the Springer format (see Author’s kit section).
Full Paper Submission deadline
14 June 2021
1 July 2021
1 August 2021
Start of Conference
15 September 2021
End of Conference
17 September 2021