EAI IoTCare 2023 will be held as an on-site conference and if needed, Accepted Authors who are unable to attend the event in person will be given an option to present remotely.
Scope
The forthcoming era will be dominated by the intersection of physical objects and the internet. The incorporation of Internet of Things (IoT) features into healthcare devices promises to enhance the quality of medical services. This integration holds significant value, particularly for the elderly, patients with chronic illnesses, and individuals requiring long-term monitoring.
This conference is designed to serve as a platform for showcasing and discussing the latest developments and future possibilities of IoT and big data in healthcare. It brings together industry professionals, researchers, and academics to exchange ideas and share experiences about cutting-edge technologies, innovative solutions, research findings, and IoT-based healthcare initiatives.
The primary focus will be the fusion of IoT and big data technologies for applications in electronic health, electronic care, lifestyle management, support for the aging population, and improvement of personal living conditions, among others.
Welcome to the EAI Community
Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:
- Get more visibility for your paper and receive a fair review with Community Review,
- Earn credits regardless of your paper’s acceptance and increase your EAI Index for new membership ranks and global recognition,
- Find out if your research resonates – get real-time evaluation of your presentation on-site via EAI Compass.
Topics
We welcome contributions from the following fields:
- 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 or 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, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.
Authors of selected papers will be invited to submit an extended version to:
- Mobile Networks and Applications (MONET) Journal [IF: 3.077 (2021)]
All accepted authors are eligible to submit an extended version in a fast track of:
- EAI Endorsed Transactions on Scalable Information Systems (Open Access)
- EAI Endorsed Transactions on Internet of Things (Open Access)
Additional publication opportunities:
- EAI Transactions series (Open Access)
- 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).
- Regular papers should be up to 12-15+ pages in length.
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.