AIoT4LW 2026

About the Workshop

The rapid evolution of Artificial Intelligence of Things (AIoT) is reshaping how intelligent systems interact with the physical world and human society. By integrating artificial intelligence, pervasive sensing, and interconnected IoT infrastructures, AIoT enables intelligent environments that support human well-being and lifestyle empowerment.

Recent advances in wearable sensing, smart environments, edge AI computing, and multimodal data analytics have created unprecedented opportunities for continuous health monitoring, behavioral understanding, and personalized lifestyle services.

This workshop aims to provide an interdisciplinary forum to discuss emerging AIoT technologies and applications that promote human well-being and lifestyle improvement, bridging research communities in artificial intelligence, IoT systems, ubiquitous computing, and digital health.

Topics of Interest

• Artificial Intelligence of Things (AIoT) architectures and intelligent IoT systems
• Edge AI and distributed intelligent sensing
• Machine learning and deep learning for human-centered sensing
• Multimodal sensing and data fusion for human-centered environments
• Smart environments and pervasive intelligent computing
• Cyber-physical AIoT systems for human-centered applications
• AI-enabled health monitoring and wearable analytics
• Behavioral modeling and lifestyle understanding using IoT data
• AIoT-based lifestyle sensing and well-being applications
• LLM-based healthcare support and well-being applications
• Privacy-preserving, secure, and trustworthy AIoT systems
• Human-AI interaction and embodied intelligence in AIoT environments
• Digital twins and virtual representations for health and lifestyle

Important Dates

Submission Guidelines

Submitted papers must be in PDF format, following the Springer LNCS Authors Guidelines. We welcome two categories of submissions:

• Full Paper: 12–15 pages, including main content and references (Recommended)
• Short Paper: 6–11 pages, including main content and references

All papers will be reviewed by at least two experts in the field. Accepted papers will be included in the Springer CCIS proceedings alongside the ICAIHE 2026 conference proceedings.

To ensure publication eligibility, at least two-thirds of accepted papers must be full papers (12–15 pages).

Submissions will be handled through the Microsoft CMT submission system.

Organizers

Contact

For inquiries regarding the workshop, please contact:

Wenhao Huang (Workshop Organizer)
Keio University
Email: wenhao.huang[at]keio.jp / gerry.huang[at]keio.jp