2nd Workshop on Internet of Wearable Things (IoWT 2026)

Call for Papers

Wearable IoT systems are revolutionizing healthcare, manufacturing, and smart cities through real-time health analytics, AI-driven safety protocols, and human-centric automation, driven by regulatory and operational needs for standardized, secure frameworks. Academic advances in edge AI, sensor fusion, and privacy-preserving architectures enable applications like real-time diagnostics and digital twin modeling, yet challenges in energy efficiency, context-aware adaptability, and scalable governance hinder cross-sector deployment. To address these, multidisciplinary collaboration must align lightweight AI designs with adaptive edge networks, prioritizing trustworthy system design (quantum-resistant security, user-centric privacy) and scalable intelligence (on-device AI with edge-cloud orchestration). Success demands standardized architectures integrating real-time sensing and AI insights, alongside cross-sector efforts to unify standards, optimize energy-efficient hardware, and validate adaptive algorithms. By prioritizing interoperability and human-in-the-loop resilience, wearable IoT can advance predictive maintenance, workforce safety, and personalized healthcare globally.

The workshop will focus on IoWT systems, addressing both foundational principles and practical implementations across healthcare, manufacturing, and smart cities. Emphasis will be placed on edge intelligence—enabling energy-efficient, on-device AI for real-time analytics—and interoperable frameworks, ensuring secure, context-aware integration of multimodal sensors and edge-to-cloud networks. Cross-disciplinary contributions are encouraged.