Call for Papers

EAI IoTCare 2022 will be held as a fully-fledged online conference.

In 2020, EAI successfully launched an online conference format to ensure the safety, comfort and quality of experience for attendees and a successful course of the events, all while retaining fully live interaction, publication and indexing. Due to the unrelenting global pandemic, this will also be the case in 2022.

Although we will miss having everyone meet and connect in person, we feel strongly that knowledge exchange must continue, if not more so. That is why we have equipped our online conferences with live viewing with chat, virtual Q&A, and a multitude of other measures to provide you with a great experience. Learn more about EAI’s online conferences.

Scope

The next era will be the connections between physical things and the internet. Integrating healthcare with Iot features into medical devices will help to improve the quality and medical service. It is of significant importance especially for the elderly, patient with chronic conditions and people who need longterm supervision. This conference aims to provide a forum for presentation and discussion the state-of-art and future perspectives of Internet of Things and big data of Healthcare. Industry experts, researchers and academics are gathering together to share ideas and experiences surrounding frontier technologies, breakthroughs, innovative solutions, research results, as well as initiatives related to IotCare, and their applications. The topic will mainly focus on the convergence of IoT and Big data technologies for e-health, e-care, life-style, aging population, smart personal living, etc., applications.

Submit paper

Topics

The works that will be presented at the conference will focus on the following topics:

• Artificial intelligence and IoT for Healthcare
• Machine learning and IoT for Healthcare
• Transfer learning and IoT for Healthcare
• Data Science and IoT for Healthcare
• Artificial Intelligence for healthcare data analysis
• Machine learning for healthcare data analysis
• Machine learning for signal processing
• Artificial intelligence for signal processing
• Design and Architecture of IoT eHealth Systems
• Emerging eHealth IoT Applications
• Forensics, Security, Safety and Privacy in eHealth and IoT
• Collection, Transmission and Storage of the Healthcare Data in IoT
• Intelligent Data Processing and Predictive Algorithms in eHealth
• Interoperability and Standardization Issues in IoT and Healthcare
• IoT and smart textile for Health
• Medical and Sensor Data Stream Processing
• Mobile Sensing and Smartphone Sensing
• Network Communications for Health Monitoring
• Processing of Quantified Self Data
• Quantified Self Devices & Technologies
• Sensor Network Operating Systems and Resource Management
• Signal Processing and Analysis
• Smart Homes and Smart Caring Environments
• Smartphone as a HealthyThing
• Telemedicine Applications
• Wearable Sensor Systems
• Wellness and Health Management Applications
• Wireless Sensor and Actuator Networks
• Cloud and IoT for Healthcare
• Data Mining of Health Data on the Cloud

Publication

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

All accepted authors are eligible to submit an extended version in a fast track of:

• EAI Endorsed Transactions on Pervasive Health and Technology (Open Access)
  – indexed in Ei Compendex & Scopus
• EAI Endorsed Transactions on Internet of Things (Open Access)

Additional publication opportunities:

• EAI/Springer Innovations in Communications and Computing Book Series
  (titles in this series are indexed in Ei Compendex, Web of Science & Scopus)

Paper submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

Important dates

Main track