The H2TRAIN initiative aligns with the ECS Strategic Research and Innovation Agenda 2023 (ECS-SRIA) objectives and tackles the core challenges of integrating digital technologies into a comprehensive health-oriented lifestyle, enhanced by artificial intelligence (AI) networks. This project pioneers the use of onedimensional and two-dimensional materials (1DM and 2DM) to create autonomous biosensors withinestablished CMOS technology layers, laying the groundwork for the expansion of AI-powered electronic health services and Internet of Things (IoT) applications focused on health, well-being, and the digital community. H2TRAIN's scope extends beyond facilitating digital technology; it innovates in the development of novel energy detection, collection, and storage mechanisms. These advancements are pivotal for incorporating sports and health activities into IoT solutions as part of wearable technology, achieved through the fusion of textile physics and smart system integration, including software and AI algorithm implementation. Moreover, the project's proposed solutions will undergo design, testing, and validation from both medical and sports science perspectives, significantly informed by insights from social sciences and humanities. Input from end-user groups and collaboration with relevant stakeholders will be sought throughout the development process. By focusing on three practical scenarios—remote assisted living, amateur sports training, and post-operative monitoring—H2TRAIN strives to catalyze the innovative capabilities of digital technologies within the smart healthcare sector, which often faces investment challenges in semiconductor nanofabrication due to the typically small scale of medical applications.
Keywords: Internet of Things (IoT), artificial intelligence (AI), edge computing, embedded intelligence, more-than-Moore devices, heterogeneous integration of functionality, biosensing devices, energy harvesting, 1D and 2D-materials.
