Call for Papers

The Internet of Mirrors (IoM) is an emerging IoT ecosystem that envisions a distributed network of interconnected smart mirror devices capable of sensing, processing, and delivering personalised, context-aware, and immersive services across healthcare, beauty, wellness, assisted living, fitness, and digital lifestyle applications. Unlike existing smart mirror technologies that operate as isolated standalone systems, the IoM introduces a connected and intelligent ecosystem in which mirrors communicate, share knowledge, integrate with edge-cloud infrastructures, and support collective intelligence across heterogeneous environments. By combining advances in AI, wireless communications, multimodal sensing, immersive technologies, and distributed computing, the IoM has the potential to enable applications such as remote healthcare monitoring, AI-driven beauty analytics, digital fitness coaching, music and wellness therapy, assisted living, and metaverse-enabled experiences.

Realising this vision requires coordinated advances across multiple research disciplines. The IoM brings together challenges spanning edge intelligence, wireless networking, multimodal AI, immersive interaction, privacy-preserving computing, and large-scale IoT orchestration. This workshop aims to provide a dedicated forum for researchers and practitioners from academia and industry to discuss emerging architectures, enabling technologies, system-level challenges, and real-world applications related to the IoM ecosystem.

We invite submissions of original, previously unpublished work on topics including, but not limited to:

Topics of interest include, but are not limited to, the following:

•System architectures, node hierarchies, and ecosystem design for IoM environments

•AI and machine learning for IoM applications, including computer vision, health analytics, beauty analytics, and personalised recommendation systems

•Federated, distributed, and multi-agent AI for intelligent IoM ecosystems

•Edge, fog, and cloud computing for IoM systems

•Intelligent task orchestration, predictive resource allocation, and adaptive service management

•Multi-access edge computing and distributed intelligence for low-latency IoM applications

•Immersive, multisensory, and metaverse-enabled IoM experiences

•Digital twin-enabled IoM environments and virtual interaction platforms

•Internet of Sounds and multimodal interaction in smart environments

•Multimodal sensing, data fusion, and contextual awareness in IoM systems

•Wireless connectivity and networking for IoM (5G/6G, Wi-Fi, LPWAN, integrated aerial-terrestrial networks)

•Cross-layer design and performance optimisation for real-time and immersive IoM communications

•Network slicing, virtualisation, and scalable architectures for IoM services

•Architectural enablers for distributed edge intelligence and future IoT ecosystems

•Privacy-preserving AI and secure processing of sensitive health, beauty, and wellness data

•Security, interoperability, semantic frameworks, and trustworthy AI in IoM ecosystems

•Human-computer interaction, accessibility, and inclusive smart interfaces

•IoM applications in healthcare, beauty, wellness, assisted living, fitness coaching, music therapy, and immersive digital experiences

•Proof-of-concept implementations, testbeds, benchmarking, and real-world IoM deployments